library(readr)
library(ggplot2)
library(e1071)
library(readxl)
library(gridExtra)
library(tidyverse)
library(countrycode)
library(sf)
library(tmap)
library(lintr)
library(plotly)
library(MASS) # for boxcox normalisation
library(rmapshaper)
library(mapview)
library(leaflet)
library(RColorBrewer)
library(DT)
library(GGally)
library(dplyr)
library(psych)csc3007-cyan2
1 Importing of libraries
2 Selecting the indicators
#mortality_rate_attributed_to_unsafe_water
mortality_rate_unsafe_water <- read_csv("data/indicator_3.9.2.csv",show_col_types = FALSE)
#Proportion_of_population_using_safely_managed_drinking_water_services
proportion_of_safe_water<- read_csv("data/indicator_6.1.1.csv",show_col_types = FALSE)
#mortality_rate_unintentional_poisoning
mortality_rate_unintentional_poisoning <- read_csv("data/indicator_3.9.3.csv",show_col_types = FALSE)
#proportion-of-population-with-basic-handwashing-facilities-on-premises-by-urban-rural-percent
population_with_basic_handwashing_facilities<- read_csv("data/indicator_6.2.1.csv",show_col_types = FALSE)3 Map of Indicator 1
3.1 Select specific columns for mortality rate unintentional poisoning
mortality_rate_unintentional_poisoning <- dplyr::select(
mortality_rate_unintentional_poisoning,
code = 'geoAreaCode',
country = 'geoAreaName',
region = 'parentName',
iso = 'ISO3',
gender = 'sex_desc',
mortality_rate_unintentional_poisoning_2019 = 'value_2019'
)
# drop rows if contains at least one NA value
mortality_rate_unintentional_poisoning <- na.omit(mortality_rate_unintentional_poisoning)
#check for empty row
any(is.na(mortality_rate_unintentional_poisoning))[1] FALSEmortality_rate_unintentional_poisoning# A tibble: 597 × 6
code country region iso gender mortality_rate_unint…¹
<dbl> <chr> <chr> <chr> <chr> <dbl>
1 470 Malta Southern Europe MLT Both … 0.1
2 152 Chile South America CHL Male 0.5
3 4 Afghanistan Southern Asia (excludi… AFG Both … 1
4 470 Malta Southern Europe MLT Female 0
5 156 China Eastern Asia CHN Both … 1.8
6 4 Afghanistan Southern Asia (excludi… AFG Both … 1
7 470 Malta Southern Europe MLT Male 0.2
8 156 China Eastern Asia CHN Female 1.5
9 478 Mauritania Western Africa MRT Both … 1.5
10 478 Mauritania Western Africa MRT Female 1.3
# ℹ 587 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_20193.2 Histogram of mortality rate unintential poisoning for year 2019
# Create the histogram
mortality_histo <- ggplot(mortality_rate_unintentional_poisoning, aes(x=mortality_rate_unintentional_poisoning_2019)) +
geom_histogram(binwidth=0.1, fill='blue', color='black') +
labs(title="Mortality rate unintentional poisoning for Year 2019", x="Mortality Rate (per 100,000)", y="Number of Country")
mortality_histo
3.3 Select specific columns for population with basic handwashing facilities
population_with_basic_handwashing_facilities <- dplyr::select(
population_with_basic_handwashing_facilities,
code = 'geoAreaCode',
country = 'geoAreaName',
region = 'parentName',
iso = 'ISO3',
area = 'location_desc',
pop_with_basic_handwashing_facilites_2019 = 'value_2019'
)
# drop rows if contains at least one NA value
population_with_basic_handwashing_facilities <- na.omit(population_with_basic_handwashing_facilities)
#check for empty row
any(is.na(mortality_rate_unintentional_poisoning))[1] FALSEpopulation_with_basic_handwashing_facilities# A tibble: 284 × 6
code country region iso area pop_with_basic_handw…¹
<dbl> <chr> <chr> <chr> <chr> <dbl>
1 4 Afghanistan Southern Asia (excludi… AFG All … 38
2 356 India Southern Asia IND Urban 82
3 4 Afghanistan Southern Asia (excludi… AFG All … 38
4 360 Indonesia South-Eastern Asia IDN All … 94
5 4 Afghanistan Southern Asia (excludi… AFG Rural 29
6 694 Sierra Leone Western Africa SLE Rural 18
7 360 Indonesia South-Eastern Asia IDN Rural 91
8 4 Afghanistan Southern Asia (excludi… AFG Rural 29
9 4 Afghanistan Southern Asia (excludi… AFG Urban 64
10 4 Afghanistan Southern Asia (excludi… AFG Urban 64
# ℹ 274 more rows
# ℹ abbreviated name: ¹pop_with_basic_handwashing_facilites_20193.4 Histogram of population with basic handwashing facilities for year 2019
# Create the histogram
pop_with_handwashing_facilities_histo <- ggplot(population_with_basic_handwashing_facilities, aes(x=pop_with_basic_handwashing_facilites_2019)) +
geom_histogram(binwidth=5, fill='blue', color='black') +
labs(title="Population with basic handwashing facilities for Year 2019", x="Population (%)", y="Number of Country")
pop_with_handwashing_facilities_histo
3.5 Left join between mortality rate and basic handwashing
countries_tb <- left_join(
mortality_rate_unintentional_poisoning,
population_with_basic_handwashing_facilities,
by = join_by(country, iso)
) |>
mutate(
iso = case_match(
iso,
"COD" ~ "ZAR",
"ROU" ~ "ROM",
"TLS" ~ "TMP",
"XKX" ~ "KSV",
.default = iso
)
)Warning in left_join(mortality_rate_unintentional_poisoning, population_with_basic_handwashing_facilities, : Detected an unexpected many-to-many relationship between `x` and `y`.
ℹ Row 3 of `x` matches multiple rows in `y`.
ℹ Row 1 of `y` matches multiple rows in `x`.
ℹ If a many-to-many relationship is expected, set `relationship =
"many-to-many"` to silence this warning.countries_tb# A tibble: 1,323 × 10
code.x country region.x iso gender mortality_rate_unint…¹ code.y region.y
<dbl> <chr> <chr> <chr> <chr> <dbl> <dbl> <chr>
1 470 Malta Souther… MLT Both … 0.1 NA <NA>
2 152 Chile South A… CHL Male 0.5 NA <NA>
3 4 Afghanis… Souther… AFG Both … 1 4 Souther…
4 4 Afghanis… Souther… AFG Both … 1 4 Souther…
5 4 Afghanis… Souther… AFG Both … 1 4 Souther…
6 4 Afghanis… Souther… AFG Both … 1 4 Souther…
7 4 Afghanis… Souther… AFG Both … 1 4 Souther…
8 4 Afghanis… Souther… AFG Both … 1 4 Souther…
9 470 Malta Souther… MLT Female 0 NA <NA>
10 156 China Eastern… CHN Both … 1.8 NA <NA>
# ℹ 1,313 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: area <chr>,
# pop_with_basic_handwashing_facilites_2019 <dbl>3.6 Import map
countries_sf <- read_sf("./data/WB_countries_Admin0.geojson")
land_sf <- read_sf("./data/WB_Land.geojson")countries_sf <-
countries_sf |>
ms_simplify() |> # Default argument `keep = 0.05`
st_make_valid()
land_sf <- ms_simplify(land_sf)
npts(countries_sf)[1] 30826countries_sf <-
countries_sf |>
left_join(
countries_tb,
by = join_by(WB_A3 == iso)
) |>
dplyr::select(country, continent = 'CONTINENT', gender = 'gender', area = 'area', iso = WB_A3, mortality_rate_unintentional_poisoning_2019, pop_with_basic_handwashing_facilites_2019)
countries_sfSimple feature collection with 1246 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -180 ymin: -55.62754 xmax: 179.9038 ymax: 83.6341
Geodetic CRS: WGS 84
# A tibble: 1,246 × 8
country continent gender area iso mortality_rate_unintentional…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Both sexes All areas IDN 0.3
2 Indonesia Asia Both sexes Rural IDN 0.3
3 Indonesia Asia Both sexes Urban IDN 0.3
4 Indonesia Asia Female All areas IDN 0.1
5 Indonesia Asia Female Rural IDN 0.1
6 Indonesia Asia Female Urban IDN 0.1
7 Indonesia Asia Male All areas IDN 0.5
8 Indonesia Asia Male Rural IDN 0.5
9 Indonesia Asia Male Urban IDN 0.5
10 Malaysia Asia Both sexes <NA> MYS 0.7
# ℹ 1,236 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]>polygon <- st_polygon(x = list(rbind(
c(-180.0001, 90),
c(-179.9999, 90),
c(-179.9999, -90),
c(-180.0001, -90),
c(-180.0001, 90)
))) |>
st_sfc() |>
st_set_crs(4326) # Equirectangular projection
countries_sf <- mutate(
countries_sf,
geometry = st_difference(geometry, polygon)
) |>
st_make_valid()
tm_shape(countries_sf) + tm_polygons()
3.7 Map of population with basic handwashing facilities for year 2019
countries_sf$area <- replace_na(countries_sf$area, "missing")
choropleth_pop <-
tm_shape(land_sf, projection = "ESRI:54012") +
tm_polygons(col = "grey") +
tm_shape(countries_sf) +
tm_polygons(
col = "pop_with_basic_handwashing_facilites_2019",
border.col = "grey30",
palette = "Greens",
breaks = c(-Inf, 20, 40, 60, 80, 100, Inf),
colorNA = "grey",
title = "Population (%)",
lwd = 0.5
) +
tm_text("iso", size = "AREA") + # Use the new column to set the size
tm_credits(
c("", "Source: unstats-undesa.opendata.arcgis.com"),
position = c("right", "bottom")
) +
tm_layout(
bg.color = "lightblue",
frame = FALSE,
inner.margins = c(0.00, 0.2, 0.2, 0.1),
earth.boundary = TRUE,
space.color = "white",
main.title.size = 0.8,
title.size = 0.5,
main.title = "Population with basic handwashing facilities by Country for 2019"
)
choropleth_pop
3.8 Map of mortality rate unintentional poisoning for year 2019
countries_sf$gender <- replace_na(countries_sf$gender, "missing")
choropleth_mor<-
tm_shape(land_sf, projection = "ESRI:54012") +
tm_polygons(col = "grey") +
tm_shape(countries_sf) +
tm_polygons(
col = "mortality_rate_unintentional_poisoning_2019",
border.col = "grey30",
palette = "Oranges",
breaks = c(-Inf, 0.2, 0.4, 0.6, 0.8, 1, Inf),
colorNA = "grey",
title = "Mortality Rate \nper 100,000",
lwd = 0.5
) +
tm_text("iso", size = "AREA") +
tm_credits(
c("", "Source: unstats-undesa.opendata.arcgis.com"),
position = c("right", "bottom")
) +
tm_layout(
bg.color = "lightblue",
frame = FALSE,
inner.margins = c(0.00, 0.2, 0.2, 0.1),
earth.boundary = TRUE,
space.color = "white",
main.title.size = 0.8,
title.size = 0.5,
main.title = "Mortality Rate Unintentional Poisoning by Country for 2019"
)
choropleth_mor
3.9 Filtering of areas
countries_sf_all_areas <- countries_sf[countries_sf$area == "All areas",]
countries_sf_urban <- countries_sf[countries_sf$area == "Urban",]
countries_sf_rural <- countries_sf[countries_sf$area == "Rural",]
countries_sf_all_areasSimple feature collection with 324 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -172.7497 ymin: -34.80869 xmax: 166.1479 ymax: 55.38515
Geodetic CRS: WGS 84
# A tibble: 324 × 8
country continent gender area iso mortality_rate_unint…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Both … All … IDN 0.3
2 Indonesia Asia Female All … IDN 0.1
3 Indonesia Asia Male All … IDN 0.5
4 Bolivia (Plurinational S… South Am… Both … All … BOL 0.6
5 Bolivia (Plurinational S… South Am… Female All … BOL 0.5
6 Bolivia (Plurinational S… South Am… Male All … BOL 0.6
7 India Asia Both … All … IND 0.3
8 India Asia Female All … IND 0.2
9 India Asia Male All … IND 0.3
10 Ethiopia Africa Both … All … ETH 3.3
# ℹ 314 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]>countries_sf_urbanSimple feature collection with 306 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -157.449 ymin: -34.80869 xmax: 166.1479 ymax: 55.38515
Geodetic CRS: WGS 84
# A tibble: 306 × 8
country continent gender area iso mortality_rate_unint…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Both … Urban IDN 0.3
2 Indonesia Asia Female Urban IDN 0.1
3 Indonesia Asia Male Urban IDN 0.5
4 Bolivia (Plurinational S… South Am… Both … Urban BOL 0.6
5 Bolivia (Plurinational S… South Am… Female Urban BOL 0.5
6 Bolivia (Plurinational S… South Am… Male Urban BOL 0.6
7 India Asia Both … Urban IND 0.3
8 India Asia Female Urban IND 0.2
9 India Asia Male Urban IND 0.3
10 Ethiopia Africa Both … Urban ETH 3.3
# ℹ 296 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]>countries_sf_ruralSimple feature collection with 309 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -157.449 ymin: -34.80869 xmax: 166.1479 ymax: 55.38515
Geodetic CRS: WGS 84
# A tibble: 309 × 8
country continent gender area iso mortality_rate_unint…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Both … Rural IDN 0.3
2 Indonesia Asia Female Rural IDN 0.1
3 Indonesia Asia Male Rural IDN 0.5
4 Bolivia (Plurinational S… South Am… Both … Rural BOL 0.6
5 Bolivia (Plurinational S… South Am… Female Rural BOL 0.5
6 Bolivia (Plurinational S… South Am… Male Rural BOL 0.6
7 Peru South Am… Both … Rural PER 0.4
8 Peru South Am… Female Rural PER 0.3
9 Peru South Am… Male Rural PER 0.5
10 India Asia Both … Rural IND 0.3
# ℹ 299 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]># Get a color palette with three colors
colors <- brewer.pal(3, "Set1")
# Assign colors to the categories
colorpal_area <- colorFactor(colors,
levels = c("All areas", "Urban", "Rural"))3.10 Map of population with basic handwashing facilities for all areas
leaflet(countries_sf_all_areas) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(fillColor = ~colorpal_area(area),
fillOpacity = 0.8,
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = ~iso,
popup = ~paste("Country Code: ", iso,
"<br>Country: ", country,
"<br>Population with basic handwashing facilities (%): ", pop_with_basic_handwashing_facilites_2019,
"<br>Area: ", area)) %>%
addLegend(pal = colorpal_area,
values = ~area,
title = "Area",
position = "bottomright")3.11 Map of population with basic handwashing facilities for urban areas
leaflet(countries_sf_urban) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(fillColor = ~colorpal_area(area), # use colorpal_area here
fillOpacity = 0.8,
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = ~iso, # This adds labels that appear when you hover over a country
popup = ~paste("Country Code: ", iso,
"<br>Country: ", country,
"<br>Population with basic handwashing facilities (%): ", pop_with_basic_handwashing_facilites_2019,
"<br>Area: ", area)) %>%
addLegend(pal = colorpal_area,
values = ~area,
title = "Area",
position = "bottomright")3.12 Map of population with basic handwashing facilities for rural areas
leaflet(countries_sf_rural) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(fillColor = ~colorpal_area(area), # use colorpal_area here
fillOpacity = 0.8,
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = ~iso, # This adds labels that appear when you hover over a country
popup = ~paste("Country Code: ", iso,
"<br>Country: ", country,
"<br>Population with basic handwashing facilities (%): ", pop_with_basic_handwashing_facilites_2019,
"<br>Area: ", area)) %>%
addLegend(pal = colorpal_area,
values = ~area,
title = "Area",
position = "bottomright")3.13 Filtering of genders
countries_sf_male <- countries_sf[countries_sf$gender == "Male",]
countries_sf_female <- countries_sf[countries_sf$gender == "Female",]
countries_sf_both <- countries_sf[countries_sf$gender == "Both sexes",]
countries_sf_maleSimple feature collection with 410 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -179.9999 ymin: -55.62754 xmax: 179.9999 ymax: 83.11652
Geodetic CRS: WGS 84
# A tibble: 410 × 8
country continent gender area iso mortality_rate_unint…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Male All … IDN 0.5
2 Indonesia Asia Male Rural IDN 0.5
3 Indonesia Asia Male Urban IDN 0.5
4 Malaysia Asia Male miss… MYS 1
5 Chile South Am… Male miss… CHL 0.5
6 Bolivia (Plurinational S… South Am… Male All … BOL 0.6
7 Bolivia (Plurinational S… South Am… Male Rural BOL 0.6
8 Bolivia (Plurinational S… South Am… Male Urban BOL 0.6
9 Peru South Am… Male Rural PER 0.5
10 Argentina South Am… Male miss… ARG 0.5
# ℹ 400 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]>countries_sf_femaleSimple feature collection with 410 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -179.9999 ymin: -55.62754 xmax: 179.9999 ymax: 83.11652
Geodetic CRS: WGS 84
# A tibble: 410 × 8
country continent gender area iso mortality_rate_unint…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Female All … IDN 0.1
2 Indonesia Asia Female Rural IDN 0.1
3 Indonesia Asia Female Urban IDN 0.1
4 Malaysia Asia Female miss… MYS 0.3
5 Chile South Am… Female miss… CHL 0.2
6 Bolivia (Plurinational S… South Am… Female All … BOL 0.5
7 Bolivia (Plurinational S… South Am… Female Rural BOL 0.5
8 Bolivia (Plurinational S… South Am… Female Urban BOL 0.5
9 Peru South Am… Female Rural PER 0.3
10 Argentina South Am… Female miss… ARG 0.3
# ℹ 400 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]>countries_sf_bothSimple feature collection with 410 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -179.9999 ymin: -55.62754 xmax: 179.9999 ymax: 83.11652
Geodetic CRS: WGS 84
# A tibble: 410 × 8
country continent gender area iso mortality_rate_unint…¹
<chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Both … All … IDN 0.3
2 Indonesia Asia Both … Rural IDN 0.3
3 Indonesia Asia Both … Urban IDN 0.3
4 Malaysia Asia Both … miss… MYS 0.7
5 Chile South Am… Both … miss… CHL 0.4
6 Bolivia (Plurinational S… South Am… Both … All … BOL 0.6
7 Bolivia (Plurinational S… South Am… Both … Rural BOL 0.6
8 Bolivia (Plurinational S… South Am… Both … Urban BOL 0.6
9 Peru South Am… Both … Rural PER 0.4
10 Argentina South Am… Both … miss… ARG 0.4
# ℹ 400 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]># Get a color palette with three colors
colors <- brewer.pal(3, "Set1")
# Assign colors to the categories
colorpal_gender <- colorFactor(colors,
levels = c("Female", "Male", "Both sexes"))3.14 Map of mortality rate unintentional poisoning for male gender
# Replace NAs in 'gender' column
countries_sf_male$gender <- replace_na(countries_sf_male$gender, "missing")
leaflet(countries_sf_male) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(fillColor = ~colorpal_gender(gender),
fillOpacity = 0.8,
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = ~iso,
popup = ~paste("Country Code: ", iso,
"<br>Country: ", country,
"<br>Mortality Rate Unintentional Poisoning per 100,000: ", mortality_rate_unintentional_poisoning_2019,
"<br>Gender: ", gender)) %>%
addLegend(pal = colorpal_gender,
values = ~gender,
title = "Gender",
position = "bottomright")3.15 Map of mortality rate unintentional poisoning for female gender
# Replace NAs in 'gender' column
countries_sf_female$gender <- replace_na(countries_sf_female$gender, "missing")
leaflet(countries_sf_female) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(fillColor = ~colorpal_gender(gender),
fillOpacity = 0.8,
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = ~iso,
popup = ~paste("Country Code: ", iso,
"<br>Country: ", country,
"<br>Mortality Rate Unintentional Poisoning per 100,000: ", mortality_rate_unintentional_poisoning_2019,
"<br>Gender: ", gender)) %>%
addLegend(pal = colorpal_gender,
values = ~gender,
title = "Gender",
position = "bottomright")3.16 Map of mortality rate unintentional poisoning for both gender
# Replace NAs in 'gender' column
countries_sf_both$gender <- replace_na(countries_sf_both$gender, "missing")
leaflet(countries_sf_both) %>%
addProviderTiles(providers$CartoDB.Positron) %>%
addPolygons(fillColor = ~colorpal_gender(gender), # Assign color based on gender
fillOpacity = 0.8,
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = ~iso,
popup = ~paste("Country Code: ", iso,
"<br>Country: ", country,
"<br>Mortality Rate Unintentional Poisoning per 100,000: ", mortality_rate_unintentional_poisoning_2019,
"<br>Gender: ", gender)) %>%
addLegend(pal = colorpal_gender,
values = ~gender,
title = "Gender",
position = "bottomright")4 Plots of Indicator between mortality rate and population with basic handwashing facilities
countries_sf <- countries_sf[!is.na(countries_sf$mortality_rate_unintentional_poisoning_2019) & !is.na(countries_sf$pop_with_basic_handwashing_facilites_2019), ]
countries_sf <- countries_sf %>%
filter(gender == 'Both sexes')
countries_sfSimple feature collection with 313 features and 7 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: -172.7497 ymin: -34.80869 xmax: 166.1479 ymax: 55.38515
Geodetic CRS: WGS 84
# A tibble: 313 × 8
country continent gender area iso mortality_rate_unint…¹
* <chr> <chr> <chr> <chr> <chr> <dbl>
1 Indonesia Asia Both … All … IDN 0.3
2 Indonesia Asia Both … Rural IDN 0.3
3 Indonesia Asia Both … Urban IDN 0.3
4 Bolivia (Plurinational S… South Am… Both … All … BOL 0.6
5 Bolivia (Plurinational S… South Am… Both … Rural BOL 0.6
6 Bolivia (Plurinational S… South Am… Both … Urban BOL 0.6
7 Peru South Am… Both … Rural PER 0.4
8 India Asia Both … Urban IND 0.3
9 India Asia Both … All … IND 0.3
10 India Asia Both … Rural IND 0.3
# ℹ 303 more rows
# ℹ abbreviated name: ¹mortality_rate_unintentional_poisoning_2019
# ℹ 2 more variables: pop_with_basic_handwashing_facilites_2019 <dbl>,
# geometry <MULTIPOLYGON [°]>4.1 Correlation
# Plot the data
plot_loess <- ggplot(countries_sf, aes(x = mortality_rate_unintentional_poisoning_2019, y = pop_with_basic_handwashing_facilites_2019)) +
geom_point(aes(color = area,
shape = area,
text = paste("Country:", country, "<br>", "Location:", area)), alpha = 0.7) +
geom_smooth(data = subset(countries_sf, area == "All areas"),
method = loess, se = FALSE,
aes(color = area, weight = pop_with_basic_handwashing_facilites_2019),
show.legend = TRUE) +
geom_smooth(data = subset(countries_sf, area == "Urban"),
method = loess, se = FALSE,
aes(color = area, weight = pop_with_basic_handwashing_facilites_2019),
show.legend = TRUE) +
geom_smooth(data = subset(countries_sf, area == "Rural"),
method = loess, se = FALSE,
aes(color = area, weight = pop_with_basic_handwashing_facilites_2019),
show.legend = TRUE) +
labs(x = "Mortality Rate (deaths per 100,000 population) for 2019 ",
y = "Population with Basic Handwashing Facilities for 2019 (%)",
title = "Correlation between Mortality Rate and Basic Handwashing Facilities \n for Both Gender",
color = "Location Type",
shape = "Location Type") +
theme_minimal() +
guides(color = guide_legend(override.aes = list(shape = 16)),
shape = guide_legend(override.aes = list(color = "black")))Warning in geom_point(aes(color = area, shape = area, text = paste("Country:",
: Ignoring unknown aesthetics: text# Convert to a plotly plot
gp_map_1 <- ggplotly(plot_loess, tooltip = "text")`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'gp_map_1correlation_all <- cor(countries_sf$pop_with_basic_handwashing_facilites_2019[countries_sf$area == "All areas"],
countries_sf$mortality_rate_unintentional_poisoning_2019[countries_sf$area == "All areas"])
correlation_urban <- cor(countries_sf$pop_with_basic_handwashing_facilites_2019[countries_sf$area == "Urban"],
countries_sf$mortality_rate_unintentional_poisoning_2019[countries_sf$area == "Urban"])
correlation_rural <- cor(countries_sf$pop_with_basic_handwashing_facilites_2019[countries_sf$area == "Rural"],
countries_sf$mortality_rate_unintentional_poisoning_2019[countries_sf$area == "Rural"])
blank_plot <- ggplot() +
theme_void() +
theme(plot.margin = margin(1, 1, 1, 1, "cm")) +
annotate("text",
x = 0.5,
y = 0.5,
label = paste("Correlation All:",
round(correlation_all, 2), "\n",
"Correlation Urban:",
round(correlation_urban, 2), "\n",
"Correlation Rural:",
round(correlation_rural, 2)),
size = 5,
color = "black",
hjust = 0.5)
# Convert to a plotly plot
gp_text_map_1 <- ggplotly(blank_plot)
gp_text_map_1stacked_bar_chart <- ggplot(countries_sf, aes(x = mortality_rate_unintentional_poisoning_2019, fill = area)) +
geom_bar(position = "stack") +
labs(x = "Mortality Rate (deaths per 100,000 population)",
y = "Count",
title = "Stacked Bar Chart of Mortality Rates") +
theme_minimal()
# Convert to a plotly plot
ggplot_stacked_bar_chart <- ggplotly(stacked_bar_chart)
# Create a grouped bar chart
grouped_bar_chart <- ggplot(countries_sf, aes(x = mortality_rate_unintentional_poisoning_2019, fill = area)) +
geom_bar(position = "dodge") +
labs(x = "Mortality Rate (deaths per 100,000 population)",
y = "Count",
title = "Grouped Bar Chart of Mortality Rates") +
theme_minimal()
# Convert to a plotly plot
ggplot_grouped_bar_chart <- ggplotly(grouped_bar_chart)4.2 Barchart and stacked barchart (without Transformation)
ggplot_stacked_bar_chart <- ggplotly(stacked_bar_chart, width = 1000, height = 600, autosize = TRUE)
ggplot_grouped_bar_chart <- ggplotly(grouped_bar_chart, width = 1000, height = 600, autosize = TRUE)
ggplot_stacked_bar_chartggplot_grouped_bar_chart4.3 Normalise Data
#Ensure you have the MASS library installed
countries_sf$mortality_rate_unintentional_poisoning_2019.positive <- countries_sf$mortality_rate_unintentional_poisoning_2019 + abs(min(countries_sf$mortality_rate_unintentional_poisoning_2019)) + 0.1
# Apply the Box-Cox transformation
bc_result <- MASS::boxcox(countries_sf$mortality_rate_unintentional_poisoning_2019.positive ~ 1,
lambda = seq(-3,3,0.1))
# The optimal lambda value is the one that maximizes the log-likelihood
optimal_lambda <- bc_result$x[which.max(bc_result$y)]
# Transform the data using the optimal lambda value
if (optimal_lambda == 0) {
countries_sf$latest_value.x_bc <- log(countries_sf$mortality_rate_unintentional_poisoning_2019.positive)
} else {
countries_sf$latest_value.x_bc <- (countries_sf$mortality_rate_unintentional_poisoning_2019.positive^optimal_lambda - 1) / optimal_lambda
}
# Shift the transformed variable to be non-negative
min_value <- min(countries_sf$latest_value.x_bc)
countries_sf$latest_value.x_bc <- countries_sf$latest_value.x_bc + abs(min_value) + 0.14.4 Histogram (Normalised)
# Round the transformed mortality rates to the nearest whole number
countries_sf$latest_value.x_bc_rounded <- round(countries_sf$latest_value.x_bc)
# Convert the latest_value.x_bc_rounded variable into a categorical variable
countries_sf$latest_value.x_bc_cat <- cut(countries_sf$latest_value.x_bc_rounded, breaks = 50)
# Create a stacked bar chart
stacked_bar_chart_bc <- ggplot(countries_sf, aes(x = latest_value.x_bc_rounded, fill = area)) +
geom_bar(position = "stack", bins =20) +
labs(x = "Transformed Mortality Rate",
y = "Count",
title = "Stacked Bar Chart of Transformed Mortality Rates") +
theme_minimal()Warning in geom_bar(position = "stack", bins = 20): Ignoring unknown
parameters: `bins`ggplot_stacked_bar_chart_bc <- ggplotly(stacked_bar_chart_bc)
ggplot_stacked_bar_chart_bc# Create a grouped bar chart
grouped_bar_chart_bc <- ggplot(countries_sf, aes(x = latest_value.x_bc_rounded, fill = area)) +
geom_bar(position = "dodge") +
labs(x = "Transformed Mortality Rate",
y = "Count",
title = "Grouped Bar Chart of Transformed Mortality Rates") +
theme_minimal()
# Convert to a plotly plot
ggplot_grouped_bar_chart_bc <- ggplotly(grouped_bar_chart_bc)
ggplot_grouped_bar_chart_bc4.5 Scatter plot Normalised
plot_loess <- ggplot(countries_sf, aes(x = latest_value.x_bc, y = pop_with_basic_handwashing_facilites_2019)) +
geom_point(aes(color = area,
shape = area,
text = paste("Country:", country, "<br>", "Location:", area)), alpha = 0.7) +
geom_smooth(data = subset(countries_sf, area == "All areas"),
method = loess, se = FALSE,
aes(color = area, weight = pop_with_basic_handwashing_facilites_2019),
show.legend = TRUE) +
geom_smooth(data = subset(countries_sf, area == "Urban"),
method = loess,
se = FALSE,
aes(color = area, weight = pop_with_basic_handwashing_facilites_2019),
show.legend = TRUE) +
geom_smooth(data = subset(countries_sf, area == "Rural"),
method = loess,
se = FALSE,
aes(color = area, weight = pop_with_basic_handwashing_facilites_2019),
show.legend = TRUE) +
labs(x = "Transformed Mortality Rate (deaths per 100,000 population) for 2019",
y = "Population with Basic Handwashing Facilities for 2019 (%)",
title = "Correlation between Mortality Rate and Basic Handwashing Facilities (Normalised) for Both Gender",
color = "Location Type",
shape = "Location Type") +
theme_minimal() +
guides(color = guide_legend(override.aes = list(shape = 16)),
shape = guide_legend(override.aes = list(color = "black")))Warning in geom_point(aes(color = area, shape = area, text = paste("Country:",
: Ignoring unknown aesthetics: textgp_normalised_map_1 <- ggplotly(plot_loess, tooltip = "text")`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'gp_normalised_map_14.6 Correlation Normalised
correlation_all <- cor(countries_sf$latest_value.x_bc[countries_sf$area == "All areas"],
countries_sf$pop_with_basic_handwashing_facilites_2019[countries_sf$area == "All areas"])
correlation_urban <- cor(countries_sf$latest_value.x_bc[countries_sf$area == "Urban"],
countries_sf$pop_with_basic_handwashing_facilites_2019[countries_sf$area == "Urban"])
correlation_rural <- cor(countries_sf$latest_value.x_bc[countries_sf$area == "Rural"],
countries_sf$pop_with_basic_handwashing_facilites_2019[countries_sf$area == "Rural"])
blank_plot <- ggplot() +
theme_void() +
theme(plot.margin = margin(1, 1, 1, 1, "cm")) +
annotate("text",
x = 0.5,
y = 0.5,
label = paste("Correlation All:",
round(correlation_all, 2), "\n",
"Correlation Urban:",
round(correlation_urban, 2), "\n",
"Correlation Rural:",
round(correlation_rural, 2)),
size = 5,
color = "black",
hjust = 0.5)
gp_text_normalised_map_1 <- ggplotly(blank_plot)
gp_text_normalised_map_14.7 Combining normal and unormalised plots
combined_plot_map_1 <- subplot(
gp_map_1, gp_text_map_1,
gp_normalised_map_1, gp_text_normalised_map_1,
nrows = 2, margin = 0.05
)
# Print the combined plot
combined_plot_map_15 Map of Indicator 2
6 Plots of Indicator between mortality rate due to unsafe drinking water and proportion of population using safely managed drinking water services.
merged_data <- merge(mortality_rate_unsafe_water, proportion_of_safe_water, by=c('geoAreaCode', 'geoAreaName'))
merged_data <- merged_data[!is.na(merged_data$value_2019), ] #remove NA values for 2019
# Display the first few rows of the merged dataframe
merged_data geoAreaCode geoAreaName ObjectId.x
1 100 Bulgaria 113
2 104 Myanmar 7
3 104 Myanmar 7
4 104 Myanmar 7
5 112 Belarus 102
6 116 Cambodia 117
7 116 Cambodia 117
8 116 Cambodia 117
9 12 Algeria 89
10 12 Algeria 89
11 12 Algeria 89
12 124 Canada 119
13 140 Central African Republic 120
14 140 Central African Republic 120
15 140 Central African Republic 120
16 144 Sri Lanka 55
17 144 Sri Lanka 55
18 144 Sri Lanka 54
19 144 Sri Lanka 54
20 148 Chad 121
21 148 Chad 121
22 148 Chad 121
23 152 Chile 122
24 152 Chile 122
25 156 China 123
26 170 Colombia 124
27 170 Colombia 124
28 170 Colombia 124
29 178 Congo 126
30 178 Congo 126
31 178 Congo 126
32 180 Democratic Republic of the Congo 134
33 180 Democratic Republic of the Congo 134
34 180 Democratic Republic of the Congo 134
35 188 Costa Rica 127
36 188 Costa Rica 127
37 188 Costa Rica 127
38 191 Croatia 129
41 196 Cyprus 131
42 208 Denmark 135
43 218 Ecuador 138
44 218 Ecuador 138
45 218 Ecuador 138
46 222 El Salvador 140
47 231 Ethiopia 145
48 231 Ethiopia 145
49 231 Ethiopia 145
50 233 Estonia 143
51 246 Finland 148
52 250 France 149
53 250 France 149
54 268 Georgia 152
55 268 Georgia 152
56 268 Georgia 152
57 270 Gambia 151
58 270 Gambia 151
59 270 Gambia 151
60 276 Germany 153
61 288 Ghana 154
62 288 Ghana 154
63 288 Ghana 154
64 296 Kiribati 179
65 296 Kiribati 179
66 296 Kiribati 179
67 296 Kiribati 179
68 296 Kiribati 179
69 296 Kiribati 179
70 296 Kiribati 178
71 296 Kiribati 178
72 296 Kiribati 178
73 296 Kiribati 178
74 296 Kiribati 178
75 296 Kiribati 178
76 300 Greece 155
78 31 Azerbaijan 96
79 31 Azerbaijan 96
80 31 Azerbaijan 96
81 320 Guatemala 157
82 320 Guatemala 157
83 320 Guatemala 157
84 340 Honduras 162
85 348 Hungary 163
86 348 Hungary 163
87 348 Hungary 163
88 352 Iceland 164
89 356 India 165
90 36 Australia 94
91 364 Iran (Islamic Republic of) 167
92 364 Iran (Islamic Republic of) 167
93 364 Iran (Islamic Republic of) 167
94 364 Iran (Islamic Republic of) 167
95 364 Iran (Islamic Republic of) 167
96 364 Iran (Islamic Republic of) 167
97 364 Iran (Islamic Republic of) 168
98 364 Iran (Islamic Republic of) 168
99 364 Iran (Islamic Republic of) 168
100 364 Iran (Islamic Republic of) 168
101 364 Iran (Islamic Republic of) 168
102 364 Iran (Islamic Republic of) 168
103 368 Iraq 169
104 368 Iraq 169
105 368 Iraq 169
106 372 Ireland 170
107 376 Israel 171
108 376 Israel 171
109 376 Israel 171
110 380 Italy 172
111 384 Côte d'Ivoire 128
112 384 Côte d'Ivoire 128
113 384 Côte d'Ivoire 128
114 392 Japan 174
115 398 Kazakhstan 176
116 4 Afghanistan 86
117 4 Afghanistan 86
118 4 Afghanistan 86
119 4 Afghanistan 86
120 4 Afghanistan 86
121 4 Afghanistan 86
122 4 Afghanistan 87
123 4 Afghanistan 87
124 4 Afghanistan 87
125 4 Afghanistan 87
126 4 Afghanistan 87
127 4 Afghanistan 87
128 40 Austria 95
129 400 Jordan 175
130 404 Kenya 177
131 408 Democratic People's Republic of Korea 133
132 408 Democratic People's Republic of Korea 133
133 408 Democratic People's Republic of Korea 133
134 410 Republic of Korea 30
135 414 Kuwait 180
136 417 Kyrgyzstan 181
137 417 Kyrgyzstan 181
138 417 Kyrgyzstan 181
139 418 Lao People's Democratic Republic 182
140 418 Lao People's Democratic Republic 182
141 418 Lao People's Democratic Republic 182
142 422 Lebanon 184
143 426 Lesotho 185
144 426 Lesotho 185
145 426 Lesotho 185
146 428 Latvia 183
147 440 Lithuania 188
148 440 Lithuania 188
149 442 Luxembourg 189
150 442 Luxembourg 189
151 442 Luxembourg 189
152 450 Madagascar 190
153 450 Madagascar 190
154 450 Madagascar 190
155 458 Malaysia 192
156 470 Malta 196
157 48 Bahrain 98
158 484 Mexico 199
159 496 Mongolia 3
160 496 Mongolia 3
161 496 Mongolia 3
162 498 Republic of Moldova 31
163 499 Montenegro 4
164 499 Montenegro 4
165 50 Bangladesh 99
166 50 Bangladesh 99
167 50 Bangladesh 99
168 50 Bangladesh 99
169 50 Bangladesh 99
170 50 Bangladesh 99
171 50 Bangladesh 100
172 50 Bangladesh 100
173 50 Bangladesh 100
174 50 Bangladesh 100
175 50 Bangladesh 100
176 50 Bangladesh 100
177 504 Morocco 5
178 504 Morocco 5
179 504 Morocco 5
180 51 Armenia 93
181 512 Oman 18
182 524 Nepal 10
183 524 Nepal 10
184 524 Nepal 10
185 524 Nepal 10
186 524 Nepal 10
187 524 Nepal 10
188 524 Nepal 9
189 524 Nepal 9
190 524 Nepal 9
191 524 Nepal 9
192 524 Nepal 9
193 524 Nepal 9
194 528 Netherlands 11
195 548 Vanuatu 79
196 548 Vanuatu 79
197 548 Vanuatu 80
198 548 Vanuatu 80
199 554 New Zealand 12
200 558 Nicaragua 13
201 558 Nicaragua 13
202 558 Nicaragua 13
203 56 Belgium 103
204 566 Nigeria 15
205 566 Nigeria 15
206 566 Nigeria 15
207 578 Norway 17
208 586 Pakistan 19
209 586 Pakistan 19
210 586 Pakistan 19
211 586 Pakistan 19
212 586 Pakistan 19
213 586 Pakistan 19
214 586 Pakistan 20
215 586 Pakistan 20
216 586 Pakistan 20
217 586 Pakistan 20
218 586 Pakistan 20
219 586 Pakistan 20
220 600 Paraguay 24
221 600 Paraguay 24
222 600 Paraguay 24
223 604 Peru 25
224 604 Peru 25
225 604 Peru 25
226 608 Philippines 26
227 608 Philippines 26
228 608 Philippines 26
229 616 Poland 27
230 620 Portugal 28
231 620 Portugal 28
232 620 Portugal 28
233 624 Guinea-Bissau 159
234 624 Guinea-Bissau 159
235 624 Guinea-Bissau 159
236 634 Qatar 29
237 64 Bhutan 106
238 64 Bhutan 106
239 64 Bhutan 106
240 64 Bhutan 106
241 64 Bhutan 106
242 64 Bhutan 106
243 64 Bhutan 107
244 64 Bhutan 107
245 64 Bhutan 107
246 64 Bhutan 107
247 64 Bhutan 107
248 64 Bhutan 107
249 642 Romania 32
250 642 Romania 32
251 642 Romania 32
252 643 Russian Federation 33
253 646 Rwanda 34
254 646 Rwanda 34
255 646 Rwanda 34
256 678 Sao Tome and Principe 39
257 678 Sao Tome and Principe 39
258 678 Sao Tome and Principe 39
259 688 Serbia 42
260 688 Serbia 42
261 688 Serbia 42
262 694 Sierra Leone 44
263 694 Sierra Leone 44
264 694 Sierra Leone 44
265 70 Bosnia and Herzegovina 109
266 702 Singapore 45
267 702 Singapore 45
268 703 Slovakia 46
269 705 Slovenia 47
270 710 South Africa 51
271 716 Zimbabwe 85
272 716 Zimbabwe 85
273 716 Zimbabwe 85
274 72 Botswana 110
275 724 Spain 53
276 724 Spain 53
277 724 Spain 53
278 740 Suriname 57
279 740 Suriname 57
280 740 Suriname 57
281 748 Eswatini 144
282 752 Sweden 58
283 756 Switzerland 59
284 76 Brazil 111
285 76 Brazil 111
286 76 Brazil 111
287 762 Tajikistan 61
288 768 Togo 64
289 768 Togo 64
290 768 Togo 64
291 776 Tonga 65
292 776 Tonga 65
293 776 Tonga 65
294 776 Tonga 65
295 776 Tonga 65
296 776 Tonga 65
297 776 Tonga 66
298 776 Tonga 66
299 776 Tonga 66
300 776 Tonga 66
301 776 Tonga 66
302 776 Tonga 66
303 788 Tunisia 68
304 788 Tunisia 68
305 788 Tunisia 68
306 795 Turkmenistan 70
307 795 Turkmenistan 70
308 795 Turkmenistan 70
309 8 Albania 88
310 800 Uganda 71
311 800 Uganda 71
312 800 Uganda 71
313 804 Ukraine 72
314 804 Ukraine 72
315 804 Ukraine 72
316 807 North Macedonia 16
317 807 North Macedonia 16
318 807 North Macedonia 16
319 826 United Kingdom of Great Britain and Northern Ireland 74
320 840 United States of America 76
321 840 United States of America 76
322 858 Uruguay 77
323 860 Uzbekistan 78
324 860 Uzbekistan 78
325 860 Uzbekistan 78
326 882 Samoa 38
327 882 Samoa 38
328 882 Samoa 37
329 882 Samoa 37
330 894 Zambia 84
goal_code.x goal_labelEN.x
1 3 Goal 3
2 3 Goal 3
3 3 Goal 3
4 3 Goal 3
5 3 Goal 3
6 3 Goal 3
7 3 Goal 3
8 3 Goal 3
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187 3 Goal 3
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330 3 Goal 3
goal_descEN.x
1 Ensure healthy lives and promote well-being for all at all ages
2 Ensure healthy lives and promote well-being for all at all ages
3 Ensure healthy lives and promote well-being for all at all ages
4 Ensure healthy lives and promote well-being for all at all ages
5 Ensure healthy lives and promote well-being for all at all ages
6 Ensure healthy lives and promote well-being for all at all ages
7 Ensure healthy lives and promote well-being for all at all ages
8 Ensure healthy lives and promote well-being for all at all ages
9 Ensure healthy lives and promote well-being for all at all ages
10 Ensure healthy lives and promote well-being for all at all ages
11 Ensure healthy lives and promote well-being for all at all ages
12 Ensure healthy lives and promote well-being for all at all ages
13 Ensure healthy lives and promote well-being for all at all ages
14 Ensure healthy lives and promote well-being for all at all ages
15 Ensure healthy lives and promote well-being for all at all ages
16 Ensure healthy lives and promote well-being for all at all ages
17 Ensure healthy lives and promote well-being for all at all ages
18 Ensure healthy lives and promote well-being for all at all ages
19 Ensure healthy lives and promote well-being for all at all ages
20 Ensure healthy lives and promote well-being for all at all ages
21 Ensure healthy lives and promote well-being for all at all ages
22 Ensure healthy lives and promote well-being for all at all ages
23 Ensure healthy lives and promote well-being for all at all ages
24 Ensure healthy lives and promote well-being for all at all ages
25 Ensure healthy lives and promote well-being for all at all ages
26 Ensure healthy lives and promote well-being for all at all ages
27 Ensure healthy lives and promote well-being for all at all ages
28 Ensure healthy lives and promote well-being for all at all ages
29 Ensure healthy lives and promote well-being for all at all ages
30 Ensure healthy lives and promote well-being for all at all ages
31 Ensure healthy lives and promote well-being for all at all ages
32 Ensure healthy lives and promote well-being for all at all ages
33 Ensure healthy lives and promote well-being for all at all ages
34 Ensure healthy lives and promote well-being for all at all ages
35 Ensure healthy lives and promote well-being for all at all ages
36 Ensure healthy lives and promote well-being for all at all ages
37 Ensure healthy lives and promote well-being for all at all ages
38 Ensure healthy lives and promote well-being for all at all ages
41 Ensure healthy lives and promote well-being for all at all ages
42 Ensure healthy lives and promote well-being for all at all ages
43 Ensure healthy lives and promote well-being for all at all ages
44 Ensure healthy lives and promote well-being for all at all ages
45 Ensure healthy lives and promote well-being for all at all ages
46 Ensure healthy lives and promote well-being for all at all ages
47 Ensure healthy lives and promote well-being for all at all ages
48 Ensure healthy lives and promote well-being for all at all ages
49 Ensure healthy lives and promote well-being for all at all ages
50 Ensure healthy lives and promote well-being for all at all ages
51 Ensure healthy lives and promote well-being for all at all ages
52 Ensure healthy lives and promote well-being for all at all ages
53 Ensure healthy lives and promote well-being for all at all ages
54 Ensure healthy lives and promote well-being for all at all ages
55 Ensure healthy lives and promote well-being for all at all ages
56 Ensure healthy lives and promote well-being for all at all ages
57 Ensure healthy lives and promote well-being for all at all ages
58 Ensure healthy lives and promote well-being for all at all ages
59 Ensure healthy lives and promote well-being for all at all ages
60 Ensure healthy lives and promote well-being for all at all ages
61 Ensure healthy lives and promote well-being for all at all ages
62 Ensure healthy lives and promote well-being for all at all ages
63 Ensure healthy lives and promote well-being for all at all ages
64 Ensure healthy lives and promote well-being for all at all ages
65 Ensure healthy lives and promote well-being for all at all ages
66 Ensure healthy lives and promote well-being for all at all ages
67 Ensure healthy lives and promote well-being for all at all ages
68 Ensure healthy lives and promote well-being for all at all ages
69 Ensure healthy lives and promote well-being for all at all ages
70 Ensure healthy lives and promote well-being for all at all ages
71 Ensure healthy lives and promote well-being for all at all ages
72 Ensure healthy lives and promote well-being for all at all ages
73 Ensure healthy lives and promote well-being for all at all ages
74 Ensure healthy lives and promote well-being for all at all ages
75 Ensure healthy lives and promote well-being for all at all ages
76 Ensure healthy lives and promote well-being for all at all ages
78 Ensure healthy lives and promote well-being for all at all ages
79 Ensure healthy lives and promote well-being for all at all ages
80 Ensure healthy lives and promote well-being for all at all ages
81 Ensure healthy lives and promote well-being for all at all ages
82 Ensure healthy lives and promote well-being for all at all ages
83 Ensure healthy lives and promote well-being for all at all ages
84 Ensure healthy lives and promote well-being for all at all ages
85 Ensure healthy lives and promote well-being for all at all ages
86 Ensure healthy lives and promote well-being for all at all ages
87 Ensure healthy lives and promote well-being for all at all ages
88 Ensure healthy lives and promote well-being for all at all ages
89 Ensure healthy lives and promote well-being for all at all ages
90 Ensure healthy lives and promote well-being for all at all ages
91 Ensure healthy lives and promote well-being for all at all ages
92 Ensure healthy lives and promote well-being for all at all ages
93 Ensure healthy lives and promote well-being for all at all ages
94 Ensure healthy lives and promote well-being for all at all ages
95 Ensure healthy lives and promote well-being for all at all ages
96 Ensure healthy lives and promote well-being for all at all ages
97 Ensure healthy lives and promote well-being for all at all ages
98 Ensure healthy lives and promote well-being for all at all ages
99 Ensure healthy lives and promote well-being for all at all ages
100 Ensure healthy lives and promote well-being for all at all ages
101 Ensure healthy lives and promote well-being for all at all ages
102 Ensure healthy lives and promote well-being for all at all ages
103 Ensure healthy lives and promote well-being for all at all ages
104 Ensure healthy lives and promote well-being for all at all ages
105 Ensure healthy lives and promote well-being for all at all ages
106 Ensure healthy lives and promote well-being for all at all ages
107 Ensure healthy lives and promote well-being for all at all ages
108 Ensure healthy lives and promote well-being for all at all ages
109 Ensure healthy lives and promote well-being for all at all ages
110 Ensure healthy lives and promote well-being for all at all ages
111 Ensure healthy lives and promote well-being for all at all ages
112 Ensure healthy lives and promote well-being for all at all ages
113 Ensure healthy lives and promote well-being for all at all ages
114 Ensure healthy lives and promote well-being for all at all ages
115 Ensure healthy lives and promote well-being for all at all ages
116 Ensure healthy lives and promote well-being for all at all ages
117 Ensure healthy lives and promote well-being for all at all ages
118 Ensure healthy lives and promote well-being for all at all ages
119 Ensure healthy lives and promote well-being for all at all ages
120 Ensure healthy lives and promote well-being for all at all ages
121 Ensure healthy lives and promote well-being for all at all ages
122 Ensure healthy lives and promote well-being for all at all ages
123 Ensure healthy lives and promote well-being for all at all ages
124 Ensure healthy lives and promote well-being for all at all ages
125 Ensure healthy lives and promote well-being for all at all ages
126 Ensure healthy lives and promote well-being for all at all ages
127 Ensure healthy lives and promote well-being for all at all ages
128 Ensure healthy lives and promote well-being for all at all ages
129 Ensure healthy lives and promote well-being for all at all ages
130 Ensure healthy lives and promote well-being for all at all ages
131 Ensure healthy lives and promote well-being for all at all ages
132 Ensure healthy lives and promote well-being for all at all ages
133 Ensure healthy lives and promote well-being for all at all ages
134 Ensure healthy lives and promote well-being for all at all ages
135 Ensure healthy lives and promote well-being for all at all ages
136 Ensure healthy lives and promote well-being for all at all ages
137 Ensure healthy lives and promote well-being for all at all ages
138 Ensure healthy lives and promote well-being for all at all ages
139 Ensure healthy lives and promote well-being for all at all ages
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141 Ensure healthy lives and promote well-being for all at all ages
142 Ensure healthy lives and promote well-being for all at all ages
143 Ensure healthy lives and promote well-being for all at all ages
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156 Ensure healthy lives and promote well-being for all at all ages
157 Ensure healthy lives and promote well-being for all at all ages
158 Ensure healthy lives and promote well-being for all at all ages
159 Ensure healthy lives and promote well-being for all at all ages
160 Ensure healthy lives and promote well-being for all at all ages
161 Ensure healthy lives and promote well-being for all at all ages
162 Ensure healthy lives and promote well-being for all at all ages
163 Ensure healthy lives and promote well-being for all at all ages
164 Ensure healthy lives and promote well-being for all at all ages
165 Ensure healthy lives and promote well-being for all at all ages
166 Ensure healthy lives and promote well-being for all at all ages
167 Ensure healthy lives and promote well-being for all at all ages
168 Ensure healthy lives and promote well-being for all at all ages
169 Ensure healthy lives and promote well-being for all at all ages
170 Ensure healthy lives and promote well-being for all at all ages
171 Ensure healthy lives and promote well-being for all at all ages
172 Ensure healthy lives and promote well-being for all at all ages
173 Ensure healthy lives and promote well-being for all at all ages
174 Ensure healthy lives and promote well-being for all at all ages
175 Ensure healthy lives and promote well-being for all at all ages
176 Ensure healthy lives and promote well-being for all at all ages
177 Ensure healthy lives and promote well-being for all at all ages
178 Ensure healthy lives and promote well-being for all at all ages
179 Ensure healthy lives and promote well-being for all at all ages
180 Ensure healthy lives and promote well-being for all at all ages
181 Ensure healthy lives and promote well-being for all at all ages
182 Ensure healthy lives and promote well-being for all at all ages
183 Ensure healthy lives and promote well-being for all at all ages
184 Ensure healthy lives and promote well-being for all at all ages
185 Ensure healthy lives and promote well-being for all at all ages
186 Ensure healthy lives and promote well-being for all at all ages
187 Ensure healthy lives and promote well-being for all at all ages
188 Ensure healthy lives and promote well-being for all at all ages
189 Ensure healthy lives and promote well-being for all at all ages
190 Ensure healthy lives and promote well-being for all at all ages
191 Ensure healthy lives and promote well-being for all at all ages
192 Ensure healthy lives and promote well-being for all at all ages
193 Ensure healthy lives and promote well-being for all at all ages
194 Ensure healthy lives and promote well-being for all at all ages
195 Ensure healthy lives and promote well-being for all at all ages
196 Ensure healthy lives and promote well-being for all at all ages
197 Ensure healthy lives and promote well-being for all at all ages
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199 Ensure healthy lives and promote well-being for all at all ages
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204 Ensure healthy lives and promote well-being for all at all ages
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209 Ensure healthy lives and promote well-being for all at all ages
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213 Ensure healthy lives and promote well-being for all at all ages
214 Ensure healthy lives and promote well-being for all at all ages
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217 Ensure healthy lives and promote well-being for all at all ages
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219 Ensure healthy lives and promote well-being for all at all ages
220 Ensure healthy lives and promote well-being for all at all ages
221 Ensure healthy lives and promote well-being for all at all ages
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328 Ensure healthy lives and promote well-being for all at all ages
329 Ensure healthy lives and promote well-being for all at all ages
330 Ensure healthy lives and promote well-being for all at all ages
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target_descEN.x
1 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
2 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
3 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
4 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
5 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
6 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
7 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
8 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
9 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
10 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
11 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
12 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
13 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
14 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
15 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
16 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
17 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
18 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
19 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
20 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
21 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
22 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
23 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
24 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
25 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
26 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
27 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
28 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
29 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
30 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
31 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
32 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
33 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
34 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
35 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
36 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
37 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
38 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
41 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
42 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
43 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
44 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
45 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
46 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
47 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
48 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
49 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
50 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
51 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
52 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
53 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
54 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
55 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
56 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
57 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
58 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
59 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
60 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
61 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
62 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
63 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
64 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
65 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
66 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
67 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
68 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
69 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
70 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
71 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
72 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
73 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
74 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
75 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
76 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
78 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
79 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
80 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
81 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
82 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
83 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
84 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
85 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
86 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
87 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
88 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
89 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
90 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
91 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
92 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
93 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
94 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
95 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
96 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
97 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
98 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
99 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
100 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
101 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
102 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
103 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
104 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
105 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
106 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
107 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
108 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
109 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
110 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
111 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
112 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
113 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
114 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
115 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
116 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
117 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
118 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
119 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
120 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
121 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
122 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
123 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
124 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
125 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
126 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
127 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
128 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
129 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
130 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
131 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
132 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
133 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
134 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
135 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
136 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
137 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
138 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
139 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
140 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
141 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
142 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
143 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
144 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
145 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
146 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
147 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
148 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
149 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
150 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
151 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
152 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
153 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
154 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
155 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
156 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
157 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
158 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
159 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
160 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
161 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
162 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
163 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
164 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
165 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
166 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
167 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
168 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
169 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
170 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
171 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
172 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
173 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
174 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
175 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
176 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
177 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
178 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
179 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
180 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
181 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
182 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
183 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
184 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
185 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
186 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
187 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
188 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
189 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
190 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
191 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
192 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
193 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
194 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
195 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
196 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
197 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
198 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
199 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
200 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
201 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
202 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
203 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
204 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
205 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
206 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
207 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
208 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
209 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
210 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
211 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
212 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
213 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
214 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
215 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
216 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
217 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
218 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
219 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
220 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
221 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
222 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
223 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
224 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
225 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
226 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
227 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
228 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
229 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
230 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
231 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
232 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
233 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
234 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
235 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
236 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
237 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
238 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
239 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
240 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
241 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
242 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
243 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
244 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
245 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
246 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
247 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
248 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
249 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
250 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
251 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
252 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
253 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
254 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
255 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
256 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
257 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
258 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
259 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
260 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
261 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
262 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
263 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
264 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
265 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
266 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
267 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
268 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
269 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
270 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
271 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
272 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
273 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
274 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
275 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
276 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
277 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
278 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
279 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
280 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
281 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
282 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
283 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
284 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
285 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
286 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
287 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
288 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
289 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
290 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
291 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
292 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
293 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
294 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
295 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
296 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
297 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
298 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
299 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
300 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
301 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
302 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
303 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
304 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
305 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
306 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
307 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
308 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
309 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
310 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
311 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
312 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
313 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
314 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
315 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
316 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
317 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
318 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
319 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
320 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
321 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
322 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
323 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
324 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
325 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
326 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
327 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
328 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
329 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
330 By 2030, substantially reduce the number of deaths and illnesses from hazardous chemicals and air, water and soil pollution and contamination
indicator_code.x indicator_reference.x
1 C030902 3.9.2
2 C030902 3.9.2
3 C030902 3.9.2
4 C030902 3.9.2
5 C030902 3.9.2
6 C030902 3.9.2
7 C030902 3.9.2
8 C030902 3.9.2
9 C030902 3.9.2
10 C030902 3.9.2
11 C030902 3.9.2
12 C030902 3.9.2
13 C030902 3.9.2
14 C030902 3.9.2
15 C030902 3.9.2
16 C030902 3.9.2
17 C030902 3.9.2
18 C030902 3.9.2
19 C030902 3.9.2
20 C030902 3.9.2
21 C030902 3.9.2
22 C030902 3.9.2
23 C030902 3.9.2
24 C030902 3.9.2
25 C030902 3.9.2
26 C030902 3.9.2
27 C030902 3.9.2
28 C030902 3.9.2
29 C030902 3.9.2
30 C030902 3.9.2
31 C030902 3.9.2
32 C030902 3.9.2
33 C030902 3.9.2
34 C030902 3.9.2
35 C030902 3.9.2
36 C030902 3.9.2
37 C030902 3.9.2
38 C030902 3.9.2
41 C030902 3.9.2
42 C030902 3.9.2
43 C030902 3.9.2
44 C030902 3.9.2
45 C030902 3.9.2
46 C030902 3.9.2
47 C030902 3.9.2
48 C030902 3.9.2
49 C030902 3.9.2
50 C030902 3.9.2
51 C030902 3.9.2
52 C030902 3.9.2
53 C030902 3.9.2
54 C030902 3.9.2
55 C030902 3.9.2
56 C030902 3.9.2
57 C030902 3.9.2
58 C030902 3.9.2
59 C030902 3.9.2
60 C030902 3.9.2
61 C030902 3.9.2
62 C030902 3.9.2
63 C030902 3.9.2
64 C030902 3.9.2
65 C030902 3.9.2
66 C030902 3.9.2
67 C030902 3.9.2
68 C030902 3.9.2
69 C030902 3.9.2
70 C030902 3.9.2
71 C030902 3.9.2
72 C030902 3.9.2
73 C030902 3.9.2
74 C030902 3.9.2
75 C030902 3.9.2
76 C030902 3.9.2
78 C030902 3.9.2
79 C030902 3.9.2
80 C030902 3.9.2
81 C030902 3.9.2
82 C030902 3.9.2
83 C030902 3.9.2
84 C030902 3.9.2
85 C030902 3.9.2
86 C030902 3.9.2
87 C030902 3.9.2
88 C030902 3.9.2
89 C030902 3.9.2
90 C030902 3.9.2
91 C030902 3.9.2
92 C030902 3.9.2
93 C030902 3.9.2
94 C030902 3.9.2
95 C030902 3.9.2
96 C030902 3.9.2
97 C030902 3.9.2
98 C030902 3.9.2
99 C030902 3.9.2
100 C030902 3.9.2
101 C030902 3.9.2
102 C030902 3.9.2
103 C030902 3.9.2
104 C030902 3.9.2
105 C030902 3.9.2
106 C030902 3.9.2
107 C030902 3.9.2
108 C030902 3.9.2
109 C030902 3.9.2
110 C030902 3.9.2
111 C030902 3.9.2
112 C030902 3.9.2
113 C030902 3.9.2
114 C030902 3.9.2
115 C030902 3.9.2
116 C030902 3.9.2
117 C030902 3.9.2
118 C030902 3.9.2
119 C030902 3.9.2
120 C030902 3.9.2
121 C030902 3.9.2
122 C030902 3.9.2
123 C030902 3.9.2
124 C030902 3.9.2
125 C030902 3.9.2
126 C030902 3.9.2
127 C030902 3.9.2
128 C030902 3.9.2
129 C030902 3.9.2
130 C030902 3.9.2
131 C030902 3.9.2
132 C030902 3.9.2
133 C030902 3.9.2
134 C030902 3.9.2
135 C030902 3.9.2
136 C030902 3.9.2
137 C030902 3.9.2
138 C030902 3.9.2
139 C030902 3.9.2
140 C030902 3.9.2
141 C030902 3.9.2
142 C030902 3.9.2
143 C030902 3.9.2
144 C030902 3.9.2
145 C030902 3.9.2
146 C030902 3.9.2
147 C030902 3.9.2
148 C030902 3.9.2
149 C030902 3.9.2
150 C030902 3.9.2
151 C030902 3.9.2
152 C030902 3.9.2
153 C030902 3.9.2
154 C030902 3.9.2
155 C030902 3.9.2
156 C030902 3.9.2
157 C030902 3.9.2
158 C030902 3.9.2
159 C030902 3.9.2
160 C030902 3.9.2
161 C030902 3.9.2
162 C030902 3.9.2
163 C030902 3.9.2
164 C030902 3.9.2
165 C030902 3.9.2
166 C030902 3.9.2
167 C030902 3.9.2
168 C030902 3.9.2
169 C030902 3.9.2
170 C030902 3.9.2
171 C030902 3.9.2
172 C030902 3.9.2
173 C030902 3.9.2
174 C030902 3.9.2
175 C030902 3.9.2
176 C030902 3.9.2
177 C030902 3.9.2
178 C030902 3.9.2
179 C030902 3.9.2
180 C030902 3.9.2
181 C030902 3.9.2
182 C030902 3.9.2
183 C030902 3.9.2
184 C030902 3.9.2
185 C030902 3.9.2
186 C030902 3.9.2
187 C030902 3.9.2
188 C030902 3.9.2
189 C030902 3.9.2
190 C030902 3.9.2
191 C030902 3.9.2
192 C030902 3.9.2
193 C030902 3.9.2
194 C030902 3.9.2
195 C030902 3.9.2
196 C030902 3.9.2
197 C030902 3.9.2
198 C030902 3.9.2
199 C030902 3.9.2
200 C030902 3.9.2
201 C030902 3.9.2
202 C030902 3.9.2
203 C030902 3.9.2
204 C030902 3.9.2
205 C030902 3.9.2
206 C030902 3.9.2
207 C030902 3.9.2
208 C030902 3.9.2
209 C030902 3.9.2
210 C030902 3.9.2
211 C030902 3.9.2
212 C030902 3.9.2
213 C030902 3.9.2
214 C030902 3.9.2
215 C030902 3.9.2
216 C030902 3.9.2
217 C030902 3.9.2
218 C030902 3.9.2
219 C030902 3.9.2
220 C030902 3.9.2
221 C030902 3.9.2
222 C030902 3.9.2
223 C030902 3.9.2
224 C030902 3.9.2
225 C030902 3.9.2
226 C030902 3.9.2
227 C030902 3.9.2
228 C030902 3.9.2
229 C030902 3.9.2
230 C030902 3.9.2
231 C030902 3.9.2
232 C030902 3.9.2
233 C030902 3.9.2
234 C030902 3.9.2
235 C030902 3.9.2
236 C030902 3.9.2
237 C030902 3.9.2
238 C030902 3.9.2
239 C030902 3.9.2
240 C030902 3.9.2
241 C030902 3.9.2
242 C030902 3.9.2
243 C030902 3.9.2
244 C030902 3.9.2
245 C030902 3.9.2
246 C030902 3.9.2
247 C030902 3.9.2
248 C030902 3.9.2
249 C030902 3.9.2
250 C030902 3.9.2
251 C030902 3.9.2
252 C030902 3.9.2
253 C030902 3.9.2
254 C030902 3.9.2
255 C030902 3.9.2
256 C030902 3.9.2
257 C030902 3.9.2
258 C030902 3.9.2
259 C030902 3.9.2
260 C030902 3.9.2
261 C030902 3.9.2
262 C030902 3.9.2
263 C030902 3.9.2
264 C030902 3.9.2
265 C030902 3.9.2
266 C030902 3.9.2
267 C030902 3.9.2
268 C030902 3.9.2
269 C030902 3.9.2
270 C030902 3.9.2
271 C030902 3.9.2
272 C030902 3.9.2
273 C030902 3.9.2
274 C030902 3.9.2
275 C030902 3.9.2
276 C030902 3.9.2
277 C030902 3.9.2
278 C030902 3.9.2
279 C030902 3.9.2
280 C030902 3.9.2
281 C030902 3.9.2
282 C030902 3.9.2
283 C030902 3.9.2
284 C030902 3.9.2
285 C030902 3.9.2
286 C030902 3.9.2
287 C030902 3.9.2
288 C030902 3.9.2
289 C030902 3.9.2
290 C030902 3.9.2
291 C030902 3.9.2
292 C030902 3.9.2
293 C030902 3.9.2
294 C030902 3.9.2
295 C030902 3.9.2
296 C030902 3.9.2
297 C030902 3.9.2
298 C030902 3.9.2
299 C030902 3.9.2
300 C030902 3.9.2
301 C030902 3.9.2
302 C030902 3.9.2
303 C030902 3.9.2
304 C030902 3.9.2
305 C030902 3.9.2
306 C030902 3.9.2
307 C030902 3.9.2
308 C030902 3.9.2
309 C030902 3.9.2
310 C030902 3.9.2
311 C030902 3.9.2
312 C030902 3.9.2
313 C030902 3.9.2
314 C030902 3.9.2
315 C030902 3.9.2
316 C030902 3.9.2
317 C030902 3.9.2
318 C030902 3.9.2
319 C030902 3.9.2
320 C030902 3.9.2
321 C030902 3.9.2
322 C030902 3.9.2
323 C030902 3.9.2
324 C030902 3.9.2
325 C030902 3.9.2
326 C030902 3.9.2
327 C030902 3.9.2
328 C030902 3.9.2
329 C030902 3.9.2
330 C030902 3.9.2
indicator_descEN.x
1 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
2 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
3 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
4 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
5 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
6 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
7 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
8 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
9 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
10 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
11 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
12 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
13 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
14 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
15 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
16 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
17 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
18 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
19 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
20 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
21 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
22 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
23 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
24 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
25 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
26 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
27 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
28 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
29 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
30 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
31 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
32 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
33 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
34 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
35 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
36 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
37 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
38 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
41 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
42 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
43 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
44 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
45 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
46 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
47 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
48 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
49 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
50 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
51 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
52 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
53 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
54 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
55 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
56 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
57 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
58 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
59 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
60 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
61 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
62 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
63 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
64 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
65 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
66 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
67 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
68 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
69 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
70 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
71 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
72 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
73 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
74 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
75 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
76 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
78 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
79 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
80 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
81 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
82 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
83 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
84 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
85 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
86 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
87 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
88 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
89 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
90 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
91 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
92 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
93 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
94 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
95 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
96 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
97 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
98 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
99 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
100 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
101 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
102 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
103 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
104 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
105 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
106 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
107 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
108 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
109 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
110 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
111 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
112 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
113 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
114 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
115 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
116 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
117 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
118 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
119 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
120 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
121 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
122 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
123 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
124 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
125 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
126 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
127 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
128 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
129 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
130 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
131 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
132 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
133 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
134 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
135 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
136 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
137 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
138 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
139 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
140 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
141 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
142 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
143 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
144 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
145 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
146 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
147 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
148 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
149 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
150 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
151 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
152 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
153 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
154 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
155 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
156 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
157 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
158 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
159 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
160 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
161 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
162 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
163 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
164 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
165 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
166 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
167 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
168 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
169 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
170 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
171 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
172 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
173 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
174 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
175 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
176 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
177 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
178 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
179 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
180 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
181 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
182 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
183 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
184 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
185 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
186 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
187 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
188 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
189 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
190 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
191 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
192 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
193 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
194 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
195 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
196 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
197 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
198 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
199 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
200 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
201 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
202 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
203 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
204 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
205 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
206 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
207 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
208 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
209 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
210 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
211 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
212 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
213 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
214 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
215 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
216 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
217 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
218 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
219 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
220 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
221 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
222 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
223 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
224 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
225 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
226 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
227 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
228 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
229 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
230 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
231 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
232 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
233 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
234 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
235 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
236 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
237 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
238 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
239 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
240 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
241 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
242 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
243 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
244 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
245 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
246 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
247 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
248 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
249 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
250 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
251 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
252 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
253 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
254 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
255 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
256 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
257 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
258 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
259 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
260 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
261 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
262 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
263 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
264 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
265 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
266 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
267 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
268 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
269 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
270 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
271 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
272 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
273 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
274 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
275 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
276 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
277 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
278 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
279 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
280 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
281 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
282 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
283 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
284 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
285 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
286 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
287 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
288 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
289 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
290 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
291 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
292 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
293 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
294 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
295 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
296 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
297 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
298 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
299 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
300 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
301 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
302 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
303 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
304 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
305 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
306 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
307 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
308 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
309 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
310 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
311 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
312 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
313 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
314 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
315 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
316 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
317 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
318 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
319 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
320 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
321 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
322 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
323 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
324 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
325 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
326 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
327 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
328 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
329 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
330 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (exposure to unsafe Water, Sanitation and Hygiene for All (WASH) services)
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167 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
168 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
169 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
170 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
171 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
172 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
173 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
174 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
175 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
176 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
177 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
178 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
179 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
180 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
181 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
182 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
183 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
184 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
185 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
186 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
187 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
188 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
189 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
190 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
191 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
192 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
193 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
194 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
195 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
196 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
197 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
198 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
199 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
200 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
201 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
202 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
203 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
204 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
205 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
206 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
207 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
208 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
209 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
210 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
211 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
212 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
213 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
214 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
215 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
216 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
217 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
218 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
219 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
220 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
221 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
222 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
223 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
224 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
225 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
226 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
227 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
228 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
229 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
230 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
231 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
232 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
233 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
234 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
235 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
236 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
237 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
238 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
239 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
240 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
241 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
242 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
243 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
244 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
245 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
246 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
247 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
248 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
249 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
250 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
251 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
252 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
253 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
254 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
255 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
256 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
257 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
258 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
259 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
260 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
261 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
262 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
263 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
264 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
265 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
266 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
267 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
268 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
269 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
270 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
271 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
272 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
273 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
274 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
275 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
276 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
277 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
278 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
279 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
280 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
281 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
282 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
283 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
284 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
285 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
286 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
287 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
288 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
289 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
290 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
291 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
292 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
293 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
294 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
295 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
296 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
297 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
298 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
299 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
300 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
301 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
302 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
303 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
304 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
305 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
306 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
307 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
308 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
309 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
310 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
311 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
312 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
313 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
314 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
315 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
316 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
317 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
318 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
319 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
320 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
321 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
322 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
323 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
324 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
325 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
326 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
327 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
328 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
329 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
330 ['hygiene', 'health', 'mortality', 'death', 'water-related diseases', 'sanitation', 'water', 'drinking water']
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seriesDescription.x
1 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
2 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
3 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
4 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
5 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
6 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
7 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
8 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
9 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
10 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
11 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
12 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
13 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
14 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
15 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
16 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
17 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
18 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
19 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
20 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
21 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
22 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
23 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
24 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
25 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
26 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
27 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
28 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
29 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
30 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
31 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
32 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
33 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
34 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
35 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
36 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
37 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
38 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
41 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
42 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
43 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
44 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
45 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
46 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
47 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
48 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
49 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
50 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
51 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
52 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
53 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
54 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
55 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
56 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
57 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
58 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
59 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
60 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
61 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
62 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
63 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
64 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
65 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
66 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
67 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
68 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
69 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
70 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
71 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
72 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
73 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
74 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
75 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
76 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
78 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
79 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
80 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
81 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
82 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
83 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
84 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
85 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
86 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
87 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
88 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
89 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
90 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
91 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
92 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
93 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
94 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
95 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
96 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
97 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
98 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
99 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
100 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
101 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
102 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
103 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
104 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
105 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
106 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
107 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
108 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
109 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
110 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
111 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
112 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
113 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
114 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
115 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
116 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
117 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
118 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
119 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
120 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
121 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
122 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
123 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
124 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
125 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
126 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
127 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
128 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
129 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
130 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
131 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
132 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
133 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
134 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
135 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
136 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
137 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
138 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
139 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
140 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
141 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
142 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
143 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
144 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
145 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
146 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
147 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
148 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
149 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
150 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
151 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
152 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
153 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
154 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
155 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
156 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
157 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
158 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
159 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
160 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
161 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
162 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
163 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
164 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
165 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
166 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
167 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
168 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
169 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
170 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
171 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
172 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
173 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
174 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
175 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
176 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
177 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
178 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
179 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
180 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
181 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
182 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
183 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
184 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
185 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
186 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
187 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
188 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
189 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
190 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
191 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
192 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
193 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
194 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
195 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
196 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
197 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
198 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
199 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
200 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
201 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
202 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
203 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
204 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
205 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
206 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
207 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
208 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
209 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
210 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
211 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
212 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
213 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
214 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
215 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
216 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
217 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
218 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
219 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
220 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
221 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
222 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
223 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
224 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
225 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
226 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
227 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
228 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
229 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
230 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
231 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
232 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
233 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
234 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
235 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
236 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
237 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
238 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
239 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
240 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
241 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
242 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
243 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
244 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
245 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
246 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
247 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
248 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
249 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
250 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
251 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
252 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
253 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
254 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
255 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
256 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
257 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
258 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
259 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
260 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
261 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
262 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
263 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
264 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
265 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
266 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
267 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
268 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
269 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
270 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
271 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
272 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
273 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
274 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
275 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
276 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
277 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
278 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
279 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
280 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
281 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
282 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
283 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
284 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
285 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
286 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
287 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
288 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
289 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
290 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
291 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
292 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
293 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
294 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
295 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
296 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
297 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
298 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
299 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
300 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
301 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
302 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
303 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
304 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
305 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
306 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
307 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
308 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
309 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
310 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
311 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
312 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
313 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
314 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
315 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
316 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
317 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
318 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
319 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
320 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
321 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
322 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
323 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
324 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
325 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
326 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
327 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
328 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
329 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
330 Mortality rate attributed to unsafe water, unsafe sanitation and lack of hygiene (deaths per 100,000 population)
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3 4 35 South-Eastern Asia Country
4 4 35 South-Eastern Asia Country
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7 4 35 South-Eastern Asia Country
8 4 35 South-Eastern Asia Country
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10 4 15 Northern Africa Country
11 4 15 Northern Africa Country
12 4 21 Northern America Country
13 4 17 Middle Africa Country
14 4 17 Middle Africa Country
15 4 17 Middle Africa Country
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17 5 127 Southern Asia (excluding India) Country
18 5 127 Southern Asia (excluding India) Country
19 5 127 Southern Asia (excluding India) Country
20 4 17 Middle Africa Country
21 4 17 Middle Africa Country
22 4 17 Middle Africa Country
23 4 5 South America Country
24 4 5 South America Country
25 4 30 Eastern Asia Country
26 4 5 South America Country
27 4 5 South America Country
28 4 5 South America Country
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30 4 17 Middle Africa Country
31 4 17 Middle Africa Country
32 4 17 Middle Africa Country
33 4 17 Middle Africa Country
34 4 17 Middle Africa Country
35 4 13 Central America Country
36 4 13 Central America Country
37 4 13 Central America Country
38 5 39 Southern Europe Country
41 4 145 Western Asia Country
42 5 154 Northern Europe Country
43 4 5 South America Country
44 4 5 South America Country
45 4 5 South America Country
46 4 13 Central America Country
47 4 14 Eastern Africa Country
48 4 14 Eastern Africa Country
49 4 14 Eastern Africa Country
50 5 154 Northern Europe Country
51 5 154 Northern Europe Country
52 5 155 Western Europe Country
53 5 155 Western Europe Country
54 4 145 Western Asia Country
55 4 145 Western Asia Country
56 4 145 Western Asia Country
57 4 11 Western Africa Country
58 4 11 Western Africa Country
59 4 11 Western Africa Country
60 5 155 Western Europe Country
61 4 11 Western Africa Country
62 4 11 Western Africa Country
63 4 11 Western Africa Country
64 4 543 Oceania (exc. Australia and New Zealand) Country
65 4 543 Oceania (exc. Australia and New Zealand) Country
66 4 543 Oceania (exc. Australia and New Zealand) Country
67 4 543 Oceania (exc. Australia and New Zealand) Country
68 4 543 Oceania (exc. Australia and New Zealand) Country
69 4 543 Oceania (exc. Australia and New Zealand) Country
70 4 543 Oceania (exc. Australia and New Zealand) Country
71 4 543 Oceania (exc. Australia and New Zealand) Country
72 4 543 Oceania (exc. Australia and New Zealand) Country
73 4 543 Oceania (exc. Australia and New Zealand) Country
74 4 543 Oceania (exc. Australia and New Zealand) Country
75 4 543 Oceania (exc. Australia and New Zealand) Country
76 5 39 Southern Europe Country
78 4 145 Western Asia Country
79 4 145 Western Asia Country
80 4 145 Western Asia Country
81 4 13 Central America Country
82 4 13 Central America Country
83 4 13 Central America Country
84 4 13 Central America Country
85 5 151 Eastern Europe Country
86 5 151 Eastern Europe Country
87 5 151 Eastern Europe Country
88 5 154 Northern Europe Country
89 4 34 Southern Asia Country
90 4 53 Australia and New Zealand Country
91 5 127 Southern Asia (excluding India) Country
92 5 127 Southern Asia (excluding India) Country
93 5 127 Southern Asia (excluding India) Country
94 5 127 Southern Asia (excluding India) Country
95 5 127 Southern Asia (excluding India) Country
96 5 127 Southern Asia (excluding India) Country
97 5 127 Southern Asia (excluding India) Country
98 5 127 Southern Asia (excluding India) Country
99 5 127 Southern Asia (excluding India) Country
100 5 127 Southern Asia (excluding India) Country
101 5 127 Southern Asia (excluding India) Country
102 5 127 Southern Asia (excluding India) Country
103 4 145 Western Asia Country
104 4 145 Western Asia Country
105 4 145 Western Asia Country
106 5 154 Northern Europe Country
107 4 145 Western Asia Country
108 4 145 Western Asia Country
109 4 145 Western Asia Country
110 5 39 Southern Europe Country
111 4 11 Western Africa Country
112 4 11 Western Africa Country
113 4 11 Western Africa Country
114 4 30 Eastern Asia Country
115 4 143 Central Asia Country
116 5 127 Southern Asia (excluding India) Country
117 5 127 Southern Asia (excluding India) Country
118 5 127 Southern Asia (excluding India) Country
119 5 127 Southern Asia (excluding India) Country
120 5 127 Southern Asia (excluding India) Country
121 5 127 Southern Asia (excluding India) Country
122 5 127 Southern Asia (excluding India) Country
123 5 127 Southern Asia (excluding India) Country
124 5 127 Southern Asia (excluding India) Country
125 5 127 Southern Asia (excluding India) Country
126 5 127 Southern Asia (excluding India) Country
127 5 127 Southern Asia (excluding India) Country
128 5 155 Western Europe Country
129 4 145 Western Asia Country
130 4 14 Eastern Africa Country
131 4 30 Eastern Asia Country
132 4 30 Eastern Asia Country
133 4 30 Eastern Asia Country
134 4 30 Eastern Asia Country
135 4 145 Western Asia Country
136 4 143 Central Asia Country
137 4 143 Central Asia Country
138 4 143 Central Asia Country
139 4 35 South-Eastern Asia Country
140 4 35 South-Eastern Asia Country
141 4 35 South-Eastern Asia Country
142 4 145 Western Asia Country
143 4 18 Southern Africa Country
144 4 18 Southern Africa Country
145 4 18 Southern Africa Country
146 5 154 Northern Europe Country
147 5 154 Northern Europe Country
148 5 154 Northern Europe Country
149 5 155 Western Europe Country
150 5 155 Western Europe Country
151 5 155 Western Europe Country
152 4 14 Eastern Africa Country
153 4 14 Eastern Africa Country
154 4 14 Eastern Africa Country
155 4 35 South-Eastern Asia Country
156 5 39 Southern Europe Country
157 4 145 Western Asia Country
158 4 13 Central America Country
159 4 30 Eastern Asia Country
160 4 30 Eastern Asia Country
161 4 30 Eastern Asia Country
162 5 151 Eastern Europe Country
163 5 39 Southern Europe Country
164 5 39 Southern Europe Country
165 5 127 Southern Asia (excluding India) Country
166 5 127 Southern Asia (excluding India) Country
167 5 127 Southern Asia (excluding India) Country
168 5 127 Southern Asia (excluding India) Country
169 5 127 Southern Asia (excluding India) Country
170 5 127 Southern Asia (excluding India) Country
171 5 127 Southern Asia (excluding India) Country
172 5 127 Southern Asia (excluding India) Country
173 5 127 Southern Asia (excluding India) Country
174 5 127 Southern Asia (excluding India) Country
175 5 127 Southern Asia (excluding India) Country
176 5 127 Southern Asia (excluding India) Country
177 4 15 Northern Africa Country
178 4 15 Northern Africa Country
179 4 15 Northern Africa Country
180 4 145 Western Asia Country
181 4 145 Western Asia Country
182 5 127 Southern Asia (excluding India) Country
183 5 127 Southern Asia (excluding India) Country
184 5 127 Southern Asia (excluding India) Country
185 5 127 Southern Asia (excluding India) Country
186 5 127 Southern Asia (excluding India) Country
187 5 127 Southern Asia (excluding India) Country
188 5 127 Southern Asia (excluding India) Country
189 5 127 Southern Asia (excluding India) Country
190 5 127 Southern Asia (excluding India) Country
191 5 127 Southern Asia (excluding India) Country
192 5 127 Southern Asia (excluding India) Country
193 5 127 Southern Asia (excluding India) Country
194 5 155 Western Europe Country
195 4 543 Oceania (exc. Australia and New Zealand) Country
196 4 543 Oceania (exc. Australia and New Zealand) Country
197 4 543 Oceania (exc. Australia and New Zealand) Country
198 4 543 Oceania (exc. Australia and New Zealand) Country
199 4 53 Australia and New Zealand Country
200 4 13 Central America Country
201 4 13 Central America Country
202 4 13 Central America Country
203 5 155 Western Europe Country
204 4 11 Western Africa Country
205 4 11 Western Africa Country
206 4 11 Western Africa Country
207 5 154 Northern Europe Country
208 5 127 Southern Asia (excluding India) Country
209 5 127 Southern Asia (excluding India) Country
210 5 127 Southern Asia (excluding India) Country
211 5 127 Southern Asia (excluding India) Country
212 5 127 Southern Asia (excluding India) Country
213 5 127 Southern Asia (excluding India) Country
214 5 127 Southern Asia (excluding India) Country
215 5 127 Southern Asia (excluding India) Country
216 5 127 Southern Asia (excluding India) Country
217 5 127 Southern Asia (excluding India) Country
218 5 127 Southern Asia (excluding India) Country
219 5 127 Southern Asia (excluding India) Country
220 4 5 South America Country
221 4 5 South America Country
222 4 5 South America Country
223 4 5 South America Country
224 4 5 South America Country
225 4 5 South America Country
226 4 35 South-Eastern Asia Country
227 4 35 South-Eastern Asia Country
228 4 35 South-Eastern Asia Country
229 5 151 Eastern Europe Country
230 5 39 Southern Europe Country
231 5 39 Southern Europe Country
232 5 39 Southern Europe Country
233 4 11 Western Africa Country
234 4 11 Western Africa Country
235 4 11 Western Africa Country
236 4 145 Western Asia Country
237 5 127 Southern Asia (excluding India) Country
238 5 127 Southern Asia (excluding India) Country
239 5 127 Southern Asia (excluding India) Country
240 5 127 Southern Asia (excluding India) Country
241 5 127 Southern Asia (excluding India) Country
242 5 127 Southern Asia (excluding India) Country
243 5 127 Southern Asia (excluding India) Country
244 5 127 Southern Asia (excluding India) Country
245 5 127 Southern Asia (excluding India) Country
246 5 127 Southern Asia (excluding India) Country
247 5 127 Southern Asia (excluding India) Country
248 5 127 Southern Asia (excluding India) Country
249 5 151 Eastern Europe Country
250 5 151 Eastern Europe Country
251 5 151 Eastern Europe Country
252 5 151 Eastern Europe Country
253 4 14 Eastern Africa Country
254 4 14 Eastern Africa Country
255 4 14 Eastern Africa Country
256 4 17 Middle Africa Country
257 4 17 Middle Africa Country
258 4 17 Middle Africa Country
259 5 39 Southern Europe Country
260 5 39 Southern Europe Country
261 5 39 Southern Europe Country
262 4 11 Western Africa Country
263 4 11 Western Africa Country
264 4 11 Western Africa Country
265 5 39 Southern Europe Country
266 4 35 South-Eastern Asia Country
267 4 35 South-Eastern Asia Country
268 5 151 Eastern Europe Country
269 5 39 Southern Europe Country
270 4 18 Southern Africa Country
271 4 14 Eastern Africa Country
272 4 14 Eastern Africa Country
273 4 14 Eastern Africa Country
274 4 18 Southern Africa Country
275 5 39 Southern Europe Country
276 5 39 Southern Europe Country
277 5 39 Southern Europe Country
278 4 5 South America Country
279 4 5 South America Country
280 4 5 South America Country
281 4 18 Southern Africa Country
282 5 154 Northern Europe Country
283 5 155 Western Europe Country
284 4 5 South America Country
285 4 5 South America Country
286 4 5 South America Country
287 4 143 Central Asia Country
288 4 11 Western Africa Country
289 4 11 Western Africa Country
290 4 11 Western Africa Country
291 4 543 Oceania (exc. Australia and New Zealand) Country
292 4 543 Oceania (exc. Australia and New Zealand) Country
293 4 543 Oceania (exc. Australia and New Zealand) Country
294 4 543 Oceania (exc. Australia and New Zealand) Country
295 4 543 Oceania (exc. Australia and New Zealand) Country
296 4 543 Oceania (exc. Australia and New Zealand) Country
297 4 543 Oceania (exc. Australia and New Zealand) Country
298 4 543 Oceania (exc. Australia and New Zealand) Country
299 4 543 Oceania (exc. Australia and New Zealand) Country
300 4 543 Oceania (exc. Australia and New Zealand) Country
301 4 543 Oceania (exc. Australia and New Zealand) Country
302 4 543 Oceania (exc. Australia and New Zealand) Country
303 4 15 Northern Africa Country
304 4 15 Northern Africa Country
305 4 15 Northern Africa Country
306 4 143 Central Asia Country
307 4 143 Central Asia Country
308 4 143 Central Asia Country
309 5 39 Southern Europe Country
310 4 14 Eastern Africa Country
311 4 14 Eastern Africa Country
312 4 14 Eastern Africa Country
313 5 151 Eastern Europe Country
314 5 151 Eastern Europe Country
315 5 151 Eastern Europe Country
316 5 39 Southern Europe Country
317 5 39 Southern Europe Country
318 5 39 Southern Europe Country
319 5 154 Northern Europe Country
320 4 21 Northern America Country
321 4 21 Northern America Country
322 4 5 South America Country
323 4 143 Central Asia Country
324 4 143 Central Asia Country
325 4 143 Central Asia Country
326 4 543 Oceania (exc. Australia and New Zealand) Country
327 4 543 Oceania (exc. Australia and New Zealand) Country
328 4 543 Oceania (exc. Australia and New Zealand) Country
329 4 543 Oceania (exc. Australia and New Zealand) Country
330 4 14 Eastern Africa Country
X.x Y.x ISO3.x UN_Member.x Country_Profile.x
1 25.2376315 42.7573132 BGR 1 1
2 96.5175230 21.1933288 MMR 1 1
3 96.5175230 21.1933288 MMR 1 1
4 96.5175230 21.1933288 MMR 1 1
5 28.0494016 53.5419307 BLR 1 1
6 104.9228360 12.7116374 KHM 1 1
7 104.9228360 12.7116374 KHM 1 1
8 104.9228360 12.7116374 KHM 1 1
9 2.6781642 28.1594003 DZA 1 1
10 2.6781642 28.1594003 DZA 1 1
11 2.6781642 28.1594003 DZA 1 1
12 -101.6575058 57.7236019 CAN 1 1
13 20.9355949 7.0037208 CAF 1 1
14 20.9355949 7.0037208 CAF 1 1
15 20.9355949 7.0037208 CAF 1 1
16 80.7048965 7.6146933 LKA 1 1
17 80.7048965 7.6146933 LKA 1 1
18 80.7048965 7.6146933 LKA 1 1
19 80.7048965 7.6146933 LKA 1 1
20 18.6661840 15.3627934 TCD 1 1
21 18.6661840 15.3627934 TCD 1 1
22 18.6661840 15.3627934 TCD 1 1
23 -71.2302902 -35.2652885 CHL 1 1
24 -71.2302902 -35.2652885 CHL 1 1
25 104.1403375 32.3095522 CHN 1 1
26 -73.0744675 3.8882090 COL 1 1
27 -73.0744675 3.8882090 COL 1 1
28 -73.0744675 3.8882090 COL 1 1
29 15.2205261 -0.8405441 COG 1 1
30 15.2205261 -0.8405441 COG 1 1
31 15.2205261 -0.8405441 COG 1 1
32 23.6549651 -2.8771547 COD 1 1
33 23.6549651 -2.8771547 COD 1 1
34 23.6549651 -2.8771547 COD 1 1
35 -84.1971278 9.9709987 CRI 1 1
36 -84.1971278 9.9709987 CRI 1 1
37 -84.1971278 9.9709987 CRI 1 1
38 17.9587455 45.4517221 HRV 1 1
41 33.2228596 35.0565944 CYP 1 1
42 9.3265713 56.0382972 DNK 1 1
43 -78.3700524 -1.4477859 ECU 1 1
44 -78.3700524 -1.4477859 ECU 1 1
45 -78.3700524 -1.4477859 ECU 1 1
46 -88.8686299 13.7360356 SLV 1 1
47 39.6350530 8.6312232 ETH 1 1
48 39.6350530 8.6312232 ETH 1 1
49 39.6350530 8.6312232 ETH 1 1
50 25.8409348 58.6848717 EST 1 1
51 23.3084470 61.9158674 FIN 1 1
52 2.4572881 46.6266086 FRA 1 1
53 2.4572881 46.6266086 FRA 1 1
54 43.3713615 42.0481303 GEO 1 1
55 43.3713615 42.0481303 GEO 1 1
56 43.3713615 42.0481303 GEO 1 1
57 -15.3994478 13.4529593 GMB 1 1
58 -15.3994478 13.4529593 GMB 1 1
59 -15.3994478 13.4529593 GMB 1 1
60 10.3806066 51.0886274 DEU 1 1
61 -1.2056235 7.9648252 GHA 1 1
62 -1.2056235 7.9648252 GHA 1 1
63 -1.2056235 7.9648252 GHA 1 1
64 -157.5643005 1.7688377 KIR 1 1
65 -157.5643005 1.7688377 KIR 1 1
66 -157.5643005 1.7688377 KIR 1 1
67 -157.5643005 1.7688377 KIR 1 1
68 -157.5643005 1.7688377 KIR 1 1
69 -157.5643005 1.7688377 KIR 1 1
70 -157.5643005 1.7688377 KIR 1 1
71 -157.5643005 1.7688377 KIR 1 1
72 -157.5643005 1.7688377 KIR 1 1
73 -157.5643005 1.7688377 KIR 1 1
74 -157.5643005 1.7688377 KIR 1 1
75 -157.5643005 1.7688377 KIR 1 1
76 22.5830783 39.4730187 GRC 1 1
78 50.0106472 40.3922954 AZE 1 1
79 50.0106472 40.3922954 AZE 1 1
80 50.0106472 40.3922954 AZE 1 1
81 -91.2312746 15.0027372 GTM 1 1
82 -91.2312746 15.0027372 GTM 1 1
83 -91.2312746 15.0027372 GTM 1 1
84 -86.5997438 14.8224316 HND 1 1
85 19.4122152 47.1651448 HUN 1 1
86 19.4122152 47.1651448 HUN 1 1
87 19.4122152 47.1651448 HUN 1 1
88 -19.0211697 64.7913476 ISL 1 1
89 79.3608464 22.3464207 IND 1 1
90 134.3499412 -25.5771720 AUS 1 1
91 54.1976635 32.7437088 IRN 1 1
92 54.1976635 32.7437088 IRN 1 1
93 54.1976635 32.7437088 IRN 1 1
94 54.1976635 32.7437088 IRN 1 1
95 54.1976635 32.7437088 IRN 1 1
96 54.1976635 32.7437088 IRN 1 1
97 54.1976635 32.7437088 IRN 1 1
98 54.1976635 32.7437088 IRN 1 1
99 54.1976635 32.7437088 IRN 1 1
100 54.1976635 32.7437088 IRN 1 1
101 54.1976635 32.7437088 IRN 1 1
102 54.1976635 32.7437088 IRN 1 1
103 43.7660627 33.0501379 IRQ 1 1
104 43.7660627 33.0501379 IRQ 1 1
105 43.7660627 33.0501379 IRQ 1 1
106 -7.1214253 53.2527405 IRL 1 1
107 34.6227799 31.0616455 ISR 1 1
108 34.6227799 31.0616455 ISR 1 1
109 34.6227799 31.0616455 ISR 1 1
110 12.5702243 42.7991728 ITA 1 1
111 -5.5526900 7.6221159 CIV 1 1
112 -5.5526900 7.6221159 CIV 1 1
113 -5.5526900 7.6221159 CIV 1 1
114 139.2716103 36.6554539 JPN 1 1
115 66.6535916 48.0196349 KAZ 1 1
116 66.0268820 33.8316020 AFG 1 1
117 66.0268820 33.8316020 AFG 1 1
118 66.0268820 33.8316020 AFG 1 1
119 66.0268820 33.8316020 AFG 1 1
120 66.0268820 33.8316020 AFG 1 1
121 66.0268820 33.8316020 AFG 1 1
122 66.0268820 33.8316020 AFG 1 1
123 66.0268820 33.8316020 AFG 1 1
124 66.0268820 33.8316020 AFG 1 1
125 66.0268820 33.8316020 AFG 1 1
126 66.0268820 33.8316020 AFG 1 1
127 66.0268820 33.8316020 AFG 1 1
128 14.1417247 47.5870486 AUT 1 1
129 37.1302477 30.6536597 JOR 1 1
130 37.8609682 0.5347973 KEN 1 1
131 127.1803633 40.1462645 PRK 1 1
132 127.1803633 40.1462645 PRK 1 1
133 127.1803633 40.1462645 PRK 1 1
134 127.8610254 36.4520102 KOR 1 1
135 47.4930503 29.5394947 KWT 1 1
136 74.5232484 41.4620452 KGZ 1 1
137 74.5232484 41.4620452 KGZ 1 1
138 74.5232484 41.4620452 KGZ 1 1
139 101.9901968 20.2748277 LAO 1 1
140 101.9901968 20.2748277 LAO 1 1
141 101.9901968 20.2748277 LAO 1 1
142 35.8939171 33.9215246 LBN 1 1
143 28.2536219 -29.5804181 LSO 1 1
144 28.2536219 -29.5804181 LSO 1 1
145 28.2536219 -29.5804181 LSO 1 1
146 26.4246188 56.6419664 LVA 1 1
147 23.9051781 55.3368031 LTU 1 1
148 23.9051781 55.3368031 LTU 1 1
149 6.0926566 49.7767954 LUX 1 1
150 6.0926566 49.7767954 LUX 1 1
151 6.0926566 49.7767954 LUX 1 1
152 46.6982339 -19.3851478 MDG 1 1
153 46.6982339 -19.3851478 MDG 1 1
154 46.6982339 -19.3851478 MDG 1 1
155 116.8346314 5.4524153 MYS 1 1
156 14.4461752 35.8919427 MLT 1 1
157 50.5490754 26.0440775 BHR 1 1
158 -102.5148166 23.9337803 MEX 1 1
159 103.0728057 46.8389205 MNG 1 1
160 103.0728057 46.8389205 MNG 1 1
161 103.0728057 46.8389205 MNG 1 1
162 28.4650624 47.2023680 MDA 1 1
163 19.2521402 42.7871704 MNE 1 1
164 19.2521402 42.7871704 MNE 1 1
165 89.1766079 22.8696162 BGD 1 1
166 89.1766079 22.8696162 BGD 1 1
167 89.1766079 22.8696162 BGD 1 1
168 89.1766079 22.8696162 BGD 1 1
169 89.1766079 22.8696162 BGD 1 1
170 89.1766079 22.8696162 BGD 1 1
171 89.1766079 22.8696162 BGD 1 1
172 89.1766079 22.8696162 BGD 1 1
173 89.1766079 22.8696162 BGD 1 1
174 89.1766079 22.8696162 BGD 1 1
175 89.1766079 22.8696162 BGD 1 1
176 89.1766079 22.8696162 BGD 1 1
177 -6.2819428 31.8440131 MAR 1 1
178 -6.2819428 31.8440131 MAR 1 1
179 -6.2819428 31.8440131 MAR 1 1
180 44.9383932 40.2949974 ARM 1 1
181 57.8774348 21.9880561 OMN 1 1
182 83.9467886 28.2586633 NPL 1 1
183 83.9467886 28.2586633 NPL 1 1
184 83.9467886 28.2586633 NPL 1 1
185 83.9467886 28.2586633 NPL 1 1
186 83.9467886 28.2586633 NPL 1 1
187 83.9467886 28.2586633 NPL 1 1
188 83.9467886 28.2586633 NPL 1 1
189 83.9467886 28.2586633 NPL 1 1
190 83.9467886 28.2586633 NPL 1 1
191 83.9467886 28.2586633 NPL 1 1
192 83.9467886 28.2586633 NPL 1 1
193 83.9467886 28.2586633 NPL 1 1
194 5.3314806 51.8672888 NLD 1 1
195 167.0679779 -15.3444555 VUT 1 1
196 167.0679779 -15.3444555 VUT 1 1
197 167.0679779 -15.3444555 VUT 1 1
198 167.0679779 -15.3444555 VUT 1 1
199 170.4755673 -43.9872157 NZL 1 1
200 -85.0306032 12.8421084 NIC 1 1
201 -85.0306032 12.8421084 NIC 1 1
202 -85.0306032 12.8421084 NIC 1 1
203 4.6609765 50.6410498 BEL 1 1
204 8.0973633 9.5857890 NGA 1 1
205 8.0973633 9.5857890 NGA 1 1
206 8.0973633 9.5857890 NGA 1 1
207 11.4784639 61.3431113 NOR 1 1
208 68.8047968 29.3649163 PAK 1 1
209 68.8047968 29.3649163 PAK 1 1
210 68.8047968 29.3649163 PAK 1 1
211 68.8047968 29.3649163 PAK 1 1
212 68.8047968 29.3649163 PAK 1 1
213 68.8047968 29.3649163 PAK 1 1
214 68.8047968 29.3649163 PAK 1 1
215 68.8047968 29.3649163 PAK 1 1
216 68.8047968 29.3649163 PAK 1 1
217 68.8047968 29.3649163 PAK 1 1
218 68.8047968 29.3649163 PAK 1 1
219 68.8047968 29.3649163 PAK 1 1
220 -60.5485422 -21.7021624 PRY 1 1
221 -60.5485422 -21.7021624 PRY 1 1
222 -60.5485422 -21.7021624 PRY 1 1
223 -71.8209328 -13.5893971 PER 1 1
224 -71.8209328 -13.5893971 PER 1 1
225 -71.8209328 -13.5893971 PER 1 1
226 120.8601418 14.1659171 PHL 1 1
227 120.8601418 14.1659171 PHL 1 1
228 120.8601418 14.1659171 PHL 1 1
229 19.4066016 52.1226733 POL 1 1
230 -7.9615998 39.6850932 PRT 1 1
231 -7.9615998 39.6850932 PRT 1 1
232 -7.9615998 39.6850932 PRT 1 1
233 -14.4018251 12.1176039 GNB 1 1
234 -14.4018251 12.1176039 GNB 1 1
235 -14.4018251 12.1176039 GNB 1 1
236 51.1915247 25.2835538 QAT 1 1
237 90.4509848 27.3959857 BTN 1 1
238 90.4509848 27.3959857 BTN 1 1
239 90.4509848 27.3959857 BTN 1 1
240 90.4509848 27.3959857 BTN 1 1
241 90.4509848 27.3959857 BTN 1 1
242 90.4509848 27.3959857 BTN 1 1
243 90.4509848 27.3959857 BTN 1 1
244 90.4509848 27.3959857 BTN 1 1
245 90.4509848 27.3959857 BTN 1 1
246 90.4509848 27.3959857 BTN 1 1
247 90.4509848 27.3959857 BTN 1 1
248 90.4509848 27.3959857 BTN 1 1
249 24.9848101 45.8389356 ROU 1 1
250 24.9848101 45.8389356 ROU 1 1
251 24.9848101 45.8389356 ROU 1 1
252 99.0140493 61.6189985 RUS 1 1
253 29.9231019 -1.9998421 RWA 1 1
254 29.9231019 -1.9998421 RWA 1 1
255 29.9231019 -1.9998421 RWA 1 1
256 6.6097723 0.2415549 STP 1 1
257 6.6097723 0.2415549 STP 1 1
258 6.6097723 0.2415549 STP 1 1
259 20.8058760 44.0314570 SRB 1 1
260 20.8058760 44.0314570 SRB 1 1
261 20.8058760 44.0314570 SRB 1 1
262 -11.7830658 8.5686042 SLE 1 1
263 -11.7830658 8.5686042 SLE 1 1
264 -11.7830658 8.5686042 SLE 1 1
265 17.7858433 44.1684555 BIH 1 1
266 103.8107883 1.3610092 SGP 1 1
267 103.8107883 1.3610092 SGP 1 1
268 19.4849560 48.7074145 SVK 1 1
269 14.8220949 46.1195806 SVN 1 1
270 24.6718435 -29.9995754 ZAF 1 1
271 29.8690958 -19.0007549 ZWE 1 1
272 29.8690958 -19.0007549 ZWE 1 1
273 29.8690958 -19.0007549 ZWE 1 1
274 23.8138022 -22.1881007 BWA 1 1
275 -3.5540783 40.3921147 ESP 1 1
276 -3.5540783 40.3921147 ESP 1 1
277 -3.5540783 40.3921147 ESP 1 1
278 -55.9062639 4.1326032 SUR 1 1
279 -55.9062639 4.1326032 SUR 1 1
280 -55.9062639 4.1326032 SUR 1 1
281 31.5014929 -26.5647101 SWZ 1 1
282 14.3775338 60.6010311 SWE 1 1
283 8.2231580 46.9661710 CHE 1 1
284 -53.0843288 -10.7766856 BRA 1 1
285 -53.0843288 -10.7766856 BRA 1 1
286 -53.0843288 -10.7766856 BRA 1 1
287 69.2949980 38.4306967 TJK 1 1
288 0.9783576 8.5320961 TGO 1 1
289 0.9783576 8.5320961 TGO 1 1
290 0.9783576 8.5320961 TGO 1 1
291 -175.1959991 -21.1951133 TON 1 1
292 -175.1959991 -21.1951133 TON 1 1
293 -175.1959991 -21.1951133 TON 1 1
294 -175.1959991 -21.1951133 TON 1 1
295 -175.1959991 -21.1951133 TON 1 1
296 -175.1959991 -21.1951133 TON 1 1
297 -175.1959991 -21.1951133 TON 1 1
298 -175.1959991 -21.1951133 TON 1 1
299 -175.1959991 -21.1951133 TON 1 1
300 -175.1959991 -21.1951133 TON 1 1
301 -175.1959991 -21.1951133 TON 1 1
302 -175.1959991 -21.1951133 TON 1 1
303 9.5727374 34.1143997 TUN 1 1
304 9.5727374 34.1143997 TUN 1 1
305 9.5727374 34.1143997 TUN 1 1
306 58.9787665 40.0912346 TKM 1 1
307 58.9787665 40.0912346 TKM 1 1
308 58.9787665 40.0912346 TKM 1 1
309 20.0666093 41.1389701 ALB 1 1
310 32.3910044 1.2795573 UGA 1 1
311 32.3910044 1.2795573 UGA 1 1
312 32.3910044 1.2795573 UGA 1 1
313 31.4027080 49.0073595 UKR 1 1
314 31.4027080 49.0073595 UKR 1 1
315 31.4027080 49.0073595 UKR 1 1
316 21.7007909 41.6004807 MKD 1 1
317 21.7007909 41.6004807 MKD 1 1
318 21.7007909 41.6004807 MKD 1 1
319 -2.2383054 53.2769176 GBR 1 1
320 -99.1383031 39.5277871 USA 1 1
321 -99.1383031 39.5277871 USA 1 1
322 -56.0138702 -32.8002838 URY 1 1
323 63.1194456 41.7756052 UZB 1 1
324 63.1194456 41.7756052 UZB 1 1
325 63.1194456 41.7756052 UZB 1 1
326 -172.4430749 -13.6154147 WSM 1 1
327 -172.4430749 -13.6154147 WSM 1 1
328 -172.4430749 -13.6154147 WSM 1 1
329 -172.4430749 -13.6154147 WSM 1 1
330 27.8503290 -14.5970106 ZMB 1 1
UnitMultiplier.x Units_code.x Units_desc.x timeSeries_id.x
1 NA PER_100000_POP Per 100,000 population SH_STA_WASH
2 NA PER_100000_POP Per 100,000 population SH_STA_WASH
3 NA PER_100000_POP Per 100,000 population SH_STA_WASH
4 NA PER_100000_POP Per 100,000 population SH_STA_WASH
5 NA PER_100000_POP Per 100,000 population SH_STA_WASH
6 NA PER_100000_POP Per 100,000 population SH_STA_WASH
7 NA PER_100000_POP Per 100,000 population SH_STA_WASH
8 NA PER_100000_POP Per 100,000 population SH_STA_WASH
9 NA PER_100000_POP Per 100,000 population SH_STA_WASH
10 NA PER_100000_POP Per 100,000 population SH_STA_WASH
11 NA PER_100000_POP Per 100,000 population SH_STA_WASH
12 NA PER_100000_POP Per 100,000 population SH_STA_WASH
13 NA PER_100000_POP Per 100,000 population SH_STA_WASH
14 NA PER_100000_POP Per 100,000 population SH_STA_WASH
15 NA PER_100000_POP Per 100,000 population SH_STA_WASH
16 NA PER_100000_POP Per 100,000 population SH_STA_WASH
17 NA PER_100000_POP Per 100,000 population SH_STA_WASH
18 NA PER_100000_POP Per 100,000 population SH_STA_WASH
19 NA PER_100000_POP Per 100,000 population SH_STA_WASH
20 NA PER_100000_POP Per 100,000 population SH_STA_WASH
21 NA PER_100000_POP Per 100,000 population SH_STA_WASH
22 NA PER_100000_POP Per 100,000 population SH_STA_WASH
23 NA PER_100000_POP Per 100,000 population SH_STA_WASH
24 NA PER_100000_POP Per 100,000 population SH_STA_WASH
25 NA PER_100000_POP Per 100,000 population SH_STA_WASH
26 NA PER_100000_POP Per 100,000 population SH_STA_WASH
27 NA PER_100000_POP Per 100,000 population SH_STA_WASH
28 NA PER_100000_POP Per 100,000 population SH_STA_WASH
29 NA PER_100000_POP Per 100,000 population SH_STA_WASH
30 NA PER_100000_POP Per 100,000 population SH_STA_WASH
31 NA PER_100000_POP Per 100,000 population SH_STA_WASH
32 NA PER_100000_POP Per 100,000 population SH_STA_WASH
33 NA PER_100000_POP Per 100,000 population SH_STA_WASH
34 NA PER_100000_POP Per 100,000 population SH_STA_WASH
35 NA PER_100000_POP Per 100,000 population SH_STA_WASH
36 NA PER_100000_POP Per 100,000 population SH_STA_WASH
37 NA PER_100000_POP Per 100,000 population SH_STA_WASH
38 NA PER_100000_POP Per 100,000 population SH_STA_WASH
41 NA PER_100000_POP Per 100,000 population SH_STA_WASH
42 NA PER_100000_POP Per 100,000 population SH_STA_WASH
43 NA PER_100000_POP Per 100,000 population SH_STA_WASH
44 NA PER_100000_POP Per 100,000 population SH_STA_WASH
45 NA PER_100000_POP Per 100,000 population SH_STA_WASH
46 NA PER_100000_POP Per 100,000 population SH_STA_WASH
47 NA PER_100000_POP Per 100,000 population SH_STA_WASH
48 NA PER_100000_POP Per 100,000 population SH_STA_WASH
49 NA PER_100000_POP Per 100,000 population SH_STA_WASH
50 NA PER_100000_POP Per 100,000 population SH_STA_WASH
51 NA PER_100000_POP Per 100,000 population SH_STA_WASH
52 NA PER_100000_POP Per 100,000 population SH_STA_WASH
53 NA PER_100000_POP Per 100,000 population SH_STA_WASH
54 NA PER_100000_POP Per 100,000 population SH_STA_WASH
55 NA PER_100000_POP Per 100,000 population SH_STA_WASH
56 NA PER_100000_POP Per 100,000 population SH_STA_WASH
57 NA PER_100000_POP Per 100,000 population SH_STA_WASH
58 NA PER_100000_POP Per 100,000 population SH_STA_WASH
59 NA PER_100000_POP Per 100,000 population SH_STA_WASH
60 NA PER_100000_POP Per 100,000 population SH_STA_WASH
61 NA PER_100000_POP Per 100,000 population SH_STA_WASH
62 NA PER_100000_POP Per 100,000 population SH_STA_WASH
63 NA PER_100000_POP Per 100,000 population SH_STA_WASH
64 NA PER_100000_POP Per 100,000 population SH_STA_WASH
65 NA PER_100000_POP Per 100,000 population SH_STA_WASH
66 NA PER_100000_POP Per 100,000 population SH_STA_WASH
67 NA PER_100000_POP Per 100,000 population SH_STA_WASH
68 NA PER_100000_POP Per 100,000 population SH_STA_WASH
69 NA PER_100000_POP Per 100,000 population SH_STA_WASH
70 NA PER_100000_POP Per 100,000 population SH_STA_WASH
71 NA PER_100000_POP Per 100,000 population SH_STA_WASH
72 NA PER_100000_POP Per 100,000 population SH_STA_WASH
73 NA PER_100000_POP Per 100,000 population SH_STA_WASH
74 NA PER_100000_POP Per 100,000 population SH_STA_WASH
75 NA PER_100000_POP Per 100,000 population SH_STA_WASH
76 NA PER_100000_POP Per 100,000 population SH_STA_WASH
78 NA PER_100000_POP Per 100,000 population SH_STA_WASH
79 NA PER_100000_POP Per 100,000 population SH_STA_WASH
80 NA PER_100000_POP Per 100,000 population SH_STA_WASH
81 NA PER_100000_POP Per 100,000 population SH_STA_WASH
82 NA PER_100000_POP Per 100,000 population SH_STA_WASH
83 NA PER_100000_POP Per 100,000 population SH_STA_WASH
84 NA PER_100000_POP Per 100,000 population SH_STA_WASH
85 NA PER_100000_POP Per 100,000 population SH_STA_WASH
86 NA PER_100000_POP Per 100,000 population SH_STA_WASH
87 NA PER_100000_POP Per 100,000 population SH_STA_WASH
88 NA PER_100000_POP Per 100,000 population SH_STA_WASH
89 NA PER_100000_POP Per 100,000 population SH_STA_WASH
90 NA PER_100000_POP Per 100,000 population SH_STA_WASH
91 NA PER_100000_POP Per 100,000 population SH_STA_WASH
92 NA PER_100000_POP Per 100,000 population SH_STA_WASH
93 NA PER_100000_POP Per 100,000 population SH_STA_WASH
94 NA PER_100000_POP Per 100,000 population SH_STA_WASH
95 NA PER_100000_POP Per 100,000 population SH_STA_WASH
96 NA PER_100000_POP Per 100,000 population SH_STA_WASH
97 NA PER_100000_POP Per 100,000 population SH_STA_WASH
98 NA PER_100000_POP Per 100,000 population SH_STA_WASH
99 NA PER_100000_POP Per 100,000 population SH_STA_WASH
100 NA PER_100000_POP Per 100,000 population SH_STA_WASH
101 NA PER_100000_POP Per 100,000 population SH_STA_WASH
102 NA PER_100000_POP Per 100,000 population SH_STA_WASH
103 NA PER_100000_POP Per 100,000 population SH_STA_WASH
104 NA PER_100000_POP Per 100,000 population SH_STA_WASH
105 NA PER_100000_POP Per 100,000 population SH_STA_WASH
106 NA PER_100000_POP Per 100,000 population SH_STA_WASH
107 NA PER_100000_POP Per 100,000 population SH_STA_WASH
108 NA PER_100000_POP Per 100,000 population SH_STA_WASH
109 NA PER_100000_POP Per 100,000 population SH_STA_WASH
110 NA PER_100000_POP Per 100,000 population SH_STA_WASH
111 NA PER_100000_POP Per 100,000 population SH_STA_WASH
112 NA PER_100000_POP Per 100,000 population SH_STA_WASH
113 NA PER_100000_POP Per 100,000 population SH_STA_WASH
114 NA PER_100000_POP Per 100,000 population SH_STA_WASH
115 NA PER_100000_POP Per 100,000 population SH_STA_WASH
116 NA PER_100000_POP Per 100,000 population SH_STA_WASH
117 NA PER_100000_POP Per 100,000 population SH_STA_WASH
118 NA PER_100000_POP Per 100,000 population SH_STA_WASH
119 NA PER_100000_POP Per 100,000 population SH_STA_WASH
120 NA PER_100000_POP Per 100,000 population SH_STA_WASH
121 NA PER_100000_POP Per 100,000 population SH_STA_WASH
122 NA PER_100000_POP Per 100,000 population SH_STA_WASH
123 NA PER_100000_POP Per 100,000 population SH_STA_WASH
124 NA PER_100000_POP Per 100,000 population SH_STA_WASH
125 NA PER_100000_POP Per 100,000 population SH_STA_WASH
126 NA PER_100000_POP Per 100,000 population SH_STA_WASH
127 NA PER_100000_POP Per 100,000 population SH_STA_WASH
128 NA PER_100000_POP Per 100,000 population SH_STA_WASH
129 NA PER_100000_POP Per 100,000 population SH_STA_WASH
130 NA PER_100000_POP Per 100,000 population SH_STA_WASH
131 NA PER_100000_POP Per 100,000 population SH_STA_WASH
132 NA PER_100000_POP Per 100,000 population SH_STA_WASH
133 NA PER_100000_POP Per 100,000 population SH_STA_WASH
134 NA PER_100000_POP Per 100,000 population SH_STA_WASH
135 NA PER_100000_POP Per 100,000 population SH_STA_WASH
136 NA PER_100000_POP Per 100,000 population SH_STA_WASH
137 NA PER_100000_POP Per 100,000 population SH_STA_WASH
138 NA PER_100000_POP Per 100,000 population SH_STA_WASH
139 NA PER_100000_POP Per 100,000 population SH_STA_WASH
140 NA PER_100000_POP Per 100,000 population SH_STA_WASH
141 NA PER_100000_POP Per 100,000 population SH_STA_WASH
142 NA PER_100000_POP Per 100,000 population SH_STA_WASH
143 NA PER_100000_POP Per 100,000 population SH_STA_WASH
144 NA PER_100000_POP Per 100,000 population SH_STA_WASH
145 NA PER_100000_POP Per 100,000 population SH_STA_WASH
146 NA PER_100000_POP Per 100,000 population SH_STA_WASH
147 NA PER_100000_POP Per 100,000 population SH_STA_WASH
148 NA PER_100000_POP Per 100,000 population SH_STA_WASH
149 NA PER_100000_POP Per 100,000 population SH_STA_WASH
150 NA PER_100000_POP Per 100,000 population SH_STA_WASH
151 NA PER_100000_POP Per 100,000 population SH_STA_WASH
152 NA PER_100000_POP Per 100,000 population SH_STA_WASH
153 NA PER_100000_POP Per 100,000 population SH_STA_WASH
154 NA PER_100000_POP Per 100,000 population SH_STA_WASH
155 NA PER_100000_POP Per 100,000 population SH_STA_WASH
156 NA PER_100000_POP Per 100,000 population SH_STA_WASH
157 NA PER_100000_POP Per 100,000 population SH_STA_WASH
158 NA PER_100000_POP Per 100,000 population SH_STA_WASH
159 NA PER_100000_POP Per 100,000 population SH_STA_WASH
160 NA PER_100000_POP Per 100,000 population SH_STA_WASH
161 NA PER_100000_POP Per 100,000 population SH_STA_WASH
162 NA PER_100000_POP Per 100,000 population SH_STA_WASH
163 NA PER_100000_POP Per 100,000 population SH_STA_WASH
164 NA PER_100000_POP Per 100,000 population SH_STA_WASH
165 NA PER_100000_POP Per 100,000 population SH_STA_WASH
166 NA PER_100000_POP Per 100,000 population SH_STA_WASH
167 NA PER_100000_POP Per 100,000 population SH_STA_WASH
168 NA PER_100000_POP Per 100,000 population SH_STA_WASH
169 NA PER_100000_POP Per 100,000 population SH_STA_WASH
170 NA PER_100000_POP Per 100,000 population SH_STA_WASH
171 NA PER_100000_POP Per 100,000 population SH_STA_WASH
172 NA PER_100000_POP Per 100,000 population SH_STA_WASH
173 NA PER_100000_POP Per 100,000 population SH_STA_WASH
174 NA PER_100000_POP Per 100,000 population SH_STA_WASH
175 NA PER_100000_POP Per 100,000 population SH_STA_WASH
176 NA PER_100000_POP Per 100,000 population SH_STA_WASH
177 NA PER_100000_POP Per 100,000 population SH_STA_WASH
178 NA PER_100000_POP Per 100,000 population SH_STA_WASH
179 NA PER_100000_POP Per 100,000 population SH_STA_WASH
180 NA PER_100000_POP Per 100,000 population SH_STA_WASH
181 NA PER_100000_POP Per 100,000 population SH_STA_WASH
182 NA PER_100000_POP Per 100,000 population SH_STA_WASH
183 NA PER_100000_POP Per 100,000 population SH_STA_WASH
184 NA PER_100000_POP Per 100,000 population SH_STA_WASH
185 NA PER_100000_POP Per 100,000 population SH_STA_WASH
186 NA PER_100000_POP Per 100,000 population SH_STA_WASH
187 NA PER_100000_POP Per 100,000 population SH_STA_WASH
188 NA PER_100000_POP Per 100,000 population SH_STA_WASH
189 NA PER_100000_POP Per 100,000 population SH_STA_WASH
190 NA PER_100000_POP Per 100,000 population SH_STA_WASH
191 NA PER_100000_POP Per 100,000 population SH_STA_WASH
192 NA PER_100000_POP Per 100,000 population SH_STA_WASH
193 NA PER_100000_POP Per 100,000 population SH_STA_WASH
194 NA PER_100000_POP Per 100,000 population SH_STA_WASH
195 NA PER_100000_POP Per 100,000 population SH_STA_WASH
196 NA PER_100000_POP Per 100,000 population SH_STA_WASH
197 NA PER_100000_POP Per 100,000 population SH_STA_WASH
198 NA PER_100000_POP Per 100,000 population SH_STA_WASH
199 NA PER_100000_POP Per 100,000 population SH_STA_WASH
200 NA PER_100000_POP Per 100,000 population SH_STA_WASH
201 NA PER_100000_POP Per 100,000 population SH_STA_WASH
202 NA PER_100000_POP Per 100,000 population SH_STA_WASH
203 NA PER_100000_POP Per 100,000 population SH_STA_WASH
204 NA PER_100000_POP Per 100,000 population SH_STA_WASH
205 NA PER_100000_POP Per 100,000 population SH_STA_WASH
206 NA PER_100000_POP Per 100,000 population SH_STA_WASH
207 NA PER_100000_POP Per 100,000 population SH_STA_WASH
208 NA PER_100000_POP Per 100,000 population SH_STA_WASH
209 NA PER_100000_POP Per 100,000 population SH_STA_WASH
210 NA PER_100000_POP Per 100,000 population SH_STA_WASH
211 NA PER_100000_POP Per 100,000 population SH_STA_WASH
212 NA PER_100000_POP Per 100,000 population SH_STA_WASH
213 NA PER_100000_POP Per 100,000 population SH_STA_WASH
214 NA PER_100000_POP Per 100,000 population SH_STA_WASH
215 NA PER_100000_POP Per 100,000 population SH_STA_WASH
216 NA PER_100000_POP Per 100,000 population SH_STA_WASH
217 NA PER_100000_POP Per 100,000 population SH_STA_WASH
218 NA PER_100000_POP Per 100,000 population SH_STA_WASH
219 NA PER_100000_POP Per 100,000 population SH_STA_WASH
220 NA PER_100000_POP Per 100,000 population SH_STA_WASH
221 NA PER_100000_POP Per 100,000 population SH_STA_WASH
222 NA PER_100000_POP Per 100,000 population SH_STA_WASH
223 NA PER_100000_POP Per 100,000 population SH_STA_WASH
224 NA PER_100000_POP Per 100,000 population SH_STA_WASH
225 NA PER_100000_POP Per 100,000 population SH_STA_WASH
226 NA PER_100000_POP Per 100,000 population SH_STA_WASH
227 NA PER_100000_POP Per 100,000 population SH_STA_WASH
228 NA PER_100000_POP Per 100,000 population SH_STA_WASH
229 NA PER_100000_POP Per 100,000 population SH_STA_WASH
230 NA PER_100000_POP Per 100,000 population SH_STA_WASH
231 NA PER_100000_POP Per 100,000 population SH_STA_WASH
232 NA PER_100000_POP Per 100,000 population SH_STA_WASH
233 NA PER_100000_POP Per 100,000 population SH_STA_WASH
234 NA PER_100000_POP Per 100,000 population SH_STA_WASH
235 NA PER_100000_POP Per 100,000 population SH_STA_WASH
236 NA PER_100000_POP Per 100,000 population SH_STA_WASH
237 NA PER_100000_POP Per 100,000 population SH_STA_WASH
238 NA PER_100000_POP Per 100,000 population SH_STA_WASH
239 NA PER_100000_POP Per 100,000 population SH_STA_WASH
240 NA PER_100000_POP Per 100,000 population SH_STA_WASH
241 NA PER_100000_POP Per 100,000 population SH_STA_WASH
242 NA PER_100000_POP Per 100,000 population SH_STA_WASH
243 NA PER_100000_POP Per 100,000 population SH_STA_WASH
244 NA PER_100000_POP Per 100,000 population SH_STA_WASH
245 NA PER_100000_POP Per 100,000 population SH_STA_WASH
246 NA PER_100000_POP Per 100,000 population SH_STA_WASH
247 NA PER_100000_POP Per 100,000 population SH_STA_WASH
248 NA PER_100000_POP Per 100,000 population SH_STA_WASH
249 NA PER_100000_POP Per 100,000 population SH_STA_WASH
250 NA PER_100000_POP Per 100,000 population SH_STA_WASH
251 NA PER_100000_POP Per 100,000 population SH_STA_WASH
252 NA PER_100000_POP Per 100,000 population SH_STA_WASH
253 NA PER_100000_POP Per 100,000 population SH_STA_WASH
254 NA PER_100000_POP Per 100,000 population SH_STA_WASH
255 NA PER_100000_POP Per 100,000 population SH_STA_WASH
256 NA PER_100000_POP Per 100,000 population SH_STA_WASH
257 NA PER_100000_POP Per 100,000 population SH_STA_WASH
258 NA PER_100000_POP Per 100,000 population SH_STA_WASH
259 NA PER_100000_POP Per 100,000 population SH_STA_WASH
260 NA PER_100000_POP Per 100,000 population SH_STA_WASH
261 NA PER_100000_POP Per 100,000 population SH_STA_WASH
262 NA PER_100000_POP Per 100,000 population SH_STA_WASH
263 NA PER_100000_POP Per 100,000 population SH_STA_WASH
264 NA PER_100000_POP Per 100,000 population SH_STA_WASH
265 NA PER_100000_POP Per 100,000 population SH_STA_WASH
266 NA PER_100000_POP Per 100,000 population SH_STA_WASH
267 NA PER_100000_POP Per 100,000 population SH_STA_WASH
268 NA PER_100000_POP Per 100,000 population SH_STA_WASH
269 NA PER_100000_POP Per 100,000 population SH_STA_WASH
270 NA PER_100000_POP Per 100,000 population SH_STA_WASH
271 NA PER_100000_POP Per 100,000 population SH_STA_WASH
272 NA PER_100000_POP Per 100,000 population SH_STA_WASH
273 NA PER_100000_POP Per 100,000 population SH_STA_WASH
274 NA PER_100000_POP Per 100,000 population SH_STA_WASH
275 NA PER_100000_POP Per 100,000 population SH_STA_WASH
276 NA PER_100000_POP Per 100,000 population SH_STA_WASH
277 NA PER_100000_POP Per 100,000 population SH_STA_WASH
278 NA PER_100000_POP Per 100,000 population SH_STA_WASH
279 NA PER_100000_POP Per 100,000 population SH_STA_WASH
280 NA PER_100000_POP Per 100,000 population SH_STA_WASH
281 NA PER_100000_POP Per 100,000 population SH_STA_WASH
282 NA PER_100000_POP Per 100,000 population SH_STA_WASH
283 NA PER_100000_POP Per 100,000 population SH_STA_WASH
284 NA PER_100000_POP Per 100,000 population SH_STA_WASH
285 NA PER_100000_POP Per 100,000 population SH_STA_WASH
286 NA PER_100000_POP Per 100,000 population SH_STA_WASH
287 NA PER_100000_POP Per 100,000 population SH_STA_WASH
288 NA PER_100000_POP Per 100,000 population SH_STA_WASH
289 NA PER_100000_POP Per 100,000 population SH_STA_WASH
290 NA PER_100000_POP Per 100,000 population SH_STA_WASH
291 NA PER_100000_POP Per 100,000 population SH_STA_WASH
292 NA PER_100000_POP Per 100,000 population SH_STA_WASH
293 NA PER_100000_POP Per 100,000 population SH_STA_WASH
294 NA PER_100000_POP Per 100,000 population SH_STA_WASH
295 NA PER_100000_POP Per 100,000 population SH_STA_WASH
296 NA PER_100000_POP Per 100,000 population SH_STA_WASH
297 NA PER_100000_POP Per 100,000 population SH_STA_WASH
298 NA PER_100000_POP Per 100,000 population SH_STA_WASH
299 NA PER_100000_POP Per 100,000 population SH_STA_WASH
300 NA PER_100000_POP Per 100,000 population SH_STA_WASH
301 NA PER_100000_POP Per 100,000 population SH_STA_WASH
302 NA PER_100000_POP Per 100,000 population SH_STA_WASH
303 NA PER_100000_POP Per 100,000 population SH_STA_WASH
304 NA PER_100000_POP Per 100,000 population SH_STA_WASH
305 NA PER_100000_POP Per 100,000 population SH_STA_WASH
306 NA PER_100000_POP Per 100,000 population SH_STA_WASH
307 NA PER_100000_POP Per 100,000 population SH_STA_WASH
308 NA PER_100000_POP Per 100,000 population SH_STA_WASH
309 NA PER_100000_POP Per 100,000 population SH_STA_WASH
310 NA PER_100000_POP Per 100,000 population SH_STA_WASH
311 NA PER_100000_POP Per 100,000 population SH_STA_WASH
312 NA PER_100000_POP Per 100,000 population SH_STA_WASH
313 NA PER_100000_POP Per 100,000 population SH_STA_WASH
314 NA PER_100000_POP Per 100,000 population SH_STA_WASH
315 NA PER_100000_POP Per 100,000 population SH_STA_WASH
316 NA PER_100000_POP Per 100,000 population SH_STA_WASH
317 NA PER_100000_POP Per 100,000 population SH_STA_WASH
318 NA PER_100000_POP Per 100,000 population SH_STA_WASH
319 NA PER_100000_POP Per 100,000 population SH_STA_WASH
320 NA PER_100000_POP Per 100,000 population SH_STA_WASH
321 NA PER_100000_POP Per 100,000 population SH_STA_WASH
322 NA PER_100000_POP Per 100,000 population SH_STA_WASH
323 NA PER_100000_POP Per 100,000 population SH_STA_WASH
324 NA PER_100000_POP Per 100,000 population SH_STA_WASH
325 NA PER_100000_POP Per 100,000 population SH_STA_WASH
326 NA PER_100000_POP Per 100,000 population SH_STA_WASH
327 NA PER_100000_POP Per 100,000 population SH_STA_WASH
328 NA PER_100000_POP Per 100,000 population SH_STA_WASH
329 NA PER_100000_POP Per 100,000 population SH_STA_WASH
330 NA PER_100000_POP Per 100,000 population SH_STA_WASH
timeSeries_keys.x n_years.x min_year.x max_year.x years.x value_2016.x
1 NA 1 2016 2016 [2016] 0.1
2 NA 1 2016 2016 [2016] 12.6
3 NA 1 2016 2016 [2016] 12.6
4 NA 1 2016 2016 [2016] 12.6
5 NA 1 2016 2016 [2016] 0.1
6 NA 1 2016 2016 [2016] 6.5
7 NA 1 2016 2016 [2016] 6.5
8 NA 1 2016 2016 [2016] 6.5
9 NA 1 2016 2016 [2016] 1.9
10 NA 1 2016 2016 [2016] 1.9
11 NA 1 2016 2016 [2016] 1.9
12 NA 1 2016 2016 [2016] 0.4
13 NA 1 2016 2016 [2016] 82.1
14 NA 1 2016 2016 [2016] 82.1
15 NA 1 2016 2016 [2016] 82.1
16 NA 1 2016 2016 [2016] 1.2
17 NA 1 2016 2016 [2016] 1.2
18 NA 1 2016 2016 [2016] 1.2
19 NA 1 2016 2016 [2016] 1.2
20 NA 1 2016 2016 [2016] 101.0
21 NA 1 2016 2016 [2016] 101.0
22 NA 1 2016 2016 [2016] 101.0
23 NA 1 2016 2016 [2016] 0.2
24 NA 1 2016 2016 [2016] 0.2
25 NA 1 2016 2016 [2016] 0.6
26 NA 1 2016 2016 [2016] 0.8
27 NA 1 2016 2016 [2016] 0.8
28 NA 1 2016 2016 [2016] 0.8
29 NA 1 2016 2016 [2016] 38.7
30 NA 1 2016 2016 [2016] 38.7
31 NA 1 2016 2016 [2016] 38.7
32 NA 1 2016 2016 [2016] 59.8
33 NA 1 2016 2016 [2016] 59.8
34 NA 1 2016 2016 [2016] 59.8
35 NA 1 2016 2016 [2016] 0.9
36 NA 1 2016 2016 [2016] 0.9
37 NA 1 2016 2016 [2016] 0.9
38 NA 1 2016 2016 [2016] 0.1
41 NA 1 2016 2016 [2016] 0.3
42 NA 1 2016 2016 [2016] 0.3
43 NA 1 2016 2016 [2016] 0.6
44 NA 1 2016 2016 [2016] 0.6
45 NA 1 2016 2016 [2016] 0.6
46 NA 1 2016 2016 [2016] 2.0
47 NA 1 2016 2016 [2016] 43.7
48 NA 1 2016 2016 [2016] 43.7
49 NA 1 2016 2016 [2016] 43.7
50 NA 1 2016 2016 [2016] 0.0
51 NA 1 2016 2016 [2016] 0.0
52 NA 1 2016 2016 [2016] 0.3
53 NA 1 2016 2016 [2016] 0.3
54 NA 1 2016 2016 [2016] 0.2
55 NA 1 2016 2016 [2016] 0.2
56 NA 1 2016 2016 [2016] 0.2
57 NA 1 2016 2016 [2016] 29.7
58 NA 1 2016 2016 [2016] 29.7
59 NA 1 2016 2016 [2016] 29.7
60 NA 1 2016 2016 [2016] 0.6
61 NA 1 2016 2016 [2016] 18.8
62 NA 1 2016 2016 [2016] 18.8
63 NA 1 2016 2016 [2016] 18.8
64 NA 1 2016 2016 [2016] 16.7
65 NA 1 2016 2016 [2016] 16.7
66 NA 1 2016 2016 [2016] 16.7
67 NA 1 2016 2016 [2016] 16.7
68 NA 1 2016 2016 [2016] 16.7
69 NA 1 2016 2016 [2016] 16.7
70 NA 1 2016 2016 [2016] 16.7
71 NA 1 2016 2016 [2016] 16.7
72 NA 1 2016 2016 [2016] 16.7
73 NA 1 2016 2016 [2016] 16.7
74 NA 1 2016 2016 [2016] 16.7
75 NA 1 2016 2016 [2016] 16.7
76 NA 1 2016 2016 [2016] 0.0
78 NA 1 2016 2016 [2016] 1.1
79 NA 1 2016 2016 [2016] 1.1
80 NA 1 2016 2016 [2016] 1.1
81 NA 1 2016 2016 [2016] 6.3
82 NA 1 2016 2016 [2016] 6.3
83 NA 1 2016 2016 [2016] 6.3
84 NA 1 2016 2016 [2016] 3.6
85 NA 1 2016 2016 [2016] 0.2
86 NA 1 2016 2016 [2016] 0.2
87 NA 1 2016 2016 [2016] 0.2
88 NA 1 2016 2016 [2016] 0.1
89 NA 1 2016 2016 [2016] 18.6
90 NA 1 2016 2016 [2016] 0.1
91 NA 1 2016 2016 [2016] 1.0
92 NA 1 2016 2016 [2016] 1.0
93 NA 1 2016 2016 [2016] 1.0
94 NA 1 2016 2016 [2016] 1.0
95 NA 1 2016 2016 [2016] 1.0
96 NA 1 2016 2016 [2016] 1.0
97 NA 1 2016 2016 [2016] 1.0
98 NA 1 2016 2016 [2016] 1.0
99 NA 1 2016 2016 [2016] 1.0
100 NA 1 2016 2016 [2016] 1.0
101 NA 1 2016 2016 [2016] 1.0
102 NA 1 2016 2016 [2016] 1.0
103 NA 1 2016 2016 [2016] 3.0
104 NA 1 2016 2016 [2016] 3.0
105 NA 1 2016 2016 [2016] 3.0
106 NA 1 2016 2016 [2016] 0.1
107 NA 1 2016 2016 [2016] 0.2
108 NA 1 2016 2016 [2016] 0.2
109 NA 1 2016 2016 [2016] 0.2
110 NA 1 2016 2016 [2016] 0.1
111 NA 1 2016 2016 [2016] 47.2
112 NA 1 2016 2016 [2016] 47.2
113 NA 1 2016 2016 [2016] 47.2
114 NA 1 2016 2016 [2016] 0.2
115 NA 1 2016 2016 [2016] 0.4
116 NA 1 2016 2016 [2016] 13.9
117 NA 1 2016 2016 [2016] 13.9
118 NA 1 2016 2016 [2016] 13.9
119 NA 1 2016 2016 [2016] 13.9
120 NA 1 2016 2016 [2016] 13.9
121 NA 1 2016 2016 [2016] 13.9
122 NA 1 2016 2016 [2016] 13.9
123 NA 1 2016 2016 [2016] 13.9
124 NA 1 2016 2016 [2016] 13.9
125 NA 1 2016 2016 [2016] 13.9
126 NA 1 2016 2016 [2016] 13.9
127 NA 1 2016 2016 [2016] 13.9
128 NA 1 2016 2016 [2016] 0.1
129 NA 1 2016 2016 [2016] 0.6
130 NA 1 2016 2016 [2016] 51.2
131 NA 1 2016 2016 [2016] 1.4
132 NA 1 2016 2016 [2016] 1.4
133 NA 1 2016 2016 [2016] 1.4
134 NA 1 2016 2016 [2016] 1.8
135 NA 1 2016 2016 [2016] 0.0
136 NA 1 2016 2016 [2016] 0.8
137 NA 1 2016 2016 [2016] 0.8
138 NA 1 2016 2016 [2016] 0.8
139 NA 1 2016 2016 [2016] 11.3
140 NA 1 2016 2016 [2016] 11.3
141 NA 1 2016 2016 [2016] 11.3
142 NA 1 2016 2016 [2016] 0.8
143 NA 1 2016 2016 [2016] 44.4
144 NA 1 2016 2016 [2016] 44.4
145 NA 1 2016 2016 [2016] 44.4
146 NA 1 2016 2016 [2016] 0.0
147 NA 1 2016 2016 [2016] 0.1
148 NA 1 2016 2016 [2016] 0.1
149 NA 1 2016 2016 [2016] 0.0
150 NA 1 2016 2016 [2016] 0.0
151 NA 1 2016 2016 [2016] 0.0
152 NA 1 2016 2016 [2016] 30.2
153 NA 1 2016 2016 [2016] 30.2
154 NA 1 2016 2016 [2016] 30.2
155 NA 1 2016 2016 [2016] 0.4
156 NA 1 2016 2016 [2016] 0.0
157 NA 1 2016 2016 [2016] 0.0
158 NA 1 2016 2016 [2016] 1.1
159 NA 1 2016 2016 [2016] 1.3
160 NA 1 2016 2016 [2016] 1.3
161 NA 1 2016 2016 [2016] 1.3
162 NA 1 2016 2016 [2016] 0.1
163 NA 1 2016 2016 [2016] 0.0
164 NA 1 2016 2016 [2016] 0.0
165 NA 1 2016 2016 [2016] 11.9
166 NA 1 2016 2016 [2016] 11.9
167 NA 1 2016 2016 [2016] 11.9
168 NA 1 2016 2016 [2016] 11.9
169 NA 1 2016 2016 [2016] 11.9
170 NA 1 2016 2016 [2016] 11.9
171 NA 1 2016 2016 [2016] 11.9
172 NA 1 2016 2016 [2016] 11.9
173 NA 1 2016 2016 [2016] 11.9
174 NA 1 2016 2016 [2016] 11.9
175 NA 1 2016 2016 [2016] 11.9
176 NA 1 2016 2016 [2016] 11.9
177 NA 1 2016 2016 [2016] 1.9
178 NA 1 2016 2016 [2016] 1.9
179 NA 1 2016 2016 [2016] 1.9
180 NA 1 2016 2016 [2016] 0.2
181 NA 1 2016 2016 [2016] 0.0
182 NA 1 2016 2016 [2016] 19.8
183 NA 1 2016 2016 [2016] 19.8
184 NA 1 2016 2016 [2016] 19.8
185 NA 1 2016 2016 [2016] 19.8
186 NA 1 2016 2016 [2016] 19.8
187 NA 1 2016 2016 [2016] 19.8
188 NA 1 2016 2016 [2016] 19.8
189 NA 1 2016 2016 [2016] 19.8
190 NA 1 2016 2016 [2016] 19.8
191 NA 1 2016 2016 [2016] 19.8
192 NA 1 2016 2016 [2016] 19.8
193 NA 1 2016 2016 [2016] 19.8
194 NA 1 2016 2016 [2016] 0.2
195 NA 1 2016 2016 [2016] 10.4
196 NA 1 2016 2016 [2016] 10.4
197 NA 1 2016 2016 [2016] 10.4
198 NA 1 2016 2016 [2016] 10.4
199 NA 1 2016 2016 [2016] 0.1
200 NA 1 2016 2016 [2016] 2.2
201 NA 1 2016 2016 [2016] 2.2
202 NA 1 2016 2016 [2016] 2.2
203 NA 1 2016 2016 [2016] 0.3
204 NA 1 2016 2016 [2016] 68.6
205 NA 1 2016 2016 [2016] 68.6
206 NA 1 2016 2016 [2016] 68.6
207 NA 1 2016 2016 [2016] 0.2
208 NA 1 2016 2016 [2016] 19.6
209 NA 1 2016 2016 [2016] 19.6
210 NA 1 2016 2016 [2016] 19.6
211 NA 1 2016 2016 [2016] 19.6
212 NA 1 2016 2016 [2016] 19.6
213 NA 1 2016 2016 [2016] 19.6
214 NA 1 2016 2016 [2016] 19.6
215 NA 1 2016 2016 [2016] 19.6
216 NA 1 2016 2016 [2016] 19.6
217 NA 1 2016 2016 [2016] 19.6
218 NA 1 2016 2016 [2016] 19.6
219 NA 1 2016 2016 [2016] 19.6
220 NA 1 2016 2016 [2016] 1.5
221 NA 1 2016 2016 [2016] 1.5
222 NA 1 2016 2016 [2016] 1.5
223 NA 1 2016 2016 [2016] 1.3
224 NA 1 2016 2016 [2016] 1.3
225 NA 1 2016 2016 [2016] 1.3
226 NA 1 2016 2016 [2016] 4.2
227 NA 1 2016 2016 [2016] 4.2
228 NA 1 2016 2016 [2016] 4.2
229 NA 1 2016 2016 [2016] 0.1
230 NA 1 2016 2016 [2016] 0.2
231 NA 1 2016 2016 [2016] 0.2
232 NA 1 2016 2016 [2016] 0.2
233 NA 1 2016 2016 [2016] 35.3
234 NA 1 2016 2016 [2016] 35.3
235 NA 1 2016 2016 [2016] 35.3
236 NA 1 2016 2016 [2016] 0.0
237 NA 1 2016 2016 [2016] 3.9
238 NA 1 2016 2016 [2016] 3.9
239 NA 1 2016 2016 [2016] 3.9
240 NA 1 2016 2016 [2016] 3.9
241 NA 1 2016 2016 [2016] 3.9
242 NA 1 2016 2016 [2016] 3.9
243 NA 1 2016 2016 [2016] 3.9
244 NA 1 2016 2016 [2016] 3.9
245 NA 1 2016 2016 [2016] 3.9
246 NA 1 2016 2016 [2016] 3.9
247 NA 1 2016 2016 [2016] 3.9
248 NA 1 2016 2016 [2016] 3.9
249 NA 1 2016 2016 [2016] 0.4
250 NA 1 2016 2016 [2016] 0.4
251 NA 1 2016 2016 [2016] 0.4
252 NA 1 2016 2016 [2016] 0.1
253 NA 1 2016 2016 [2016] 19.3
254 NA 1 2016 2016 [2016] 19.3
255 NA 1 2016 2016 [2016] 19.3
256 NA 1 2016 2016 [2016] 11.4
257 NA 1 2016 2016 [2016] 11.4
258 NA 1 2016 2016 [2016] 11.4
259 NA 1 2016 2016 [2016] 0.7
260 NA 1 2016 2016 [2016] 0.7
261 NA 1 2016 2016 [2016] 0.7
262 NA 1 2016 2016 [2016] 81.3
263 NA 1 2016 2016 [2016] 81.3
264 NA 1 2016 2016 [2016] 81.3
265 NA 1 2016 2016 [2016] 0.1
266 NA 1 2016 2016 [2016] 0.1
267 NA 1 2016 2016 [2016] 0.1
268 NA 1 2016 2016 [2016] 0.0
269 NA 1 2016 2016 [2016] 0.0
270 NA 1 2016 2016 [2016] 13.7
271 NA 1 2016 2016 [2016] 24.6
272 NA 1 2016 2016 [2016] 24.6
273 NA 1 2016 2016 [2016] 24.6
274 NA 1 2016 2016 [2016] 11.8
275 NA 1 2016 2016 [2016] 0.2
276 NA 1 2016 2016 [2016] 0.2
277 NA 1 2016 2016 [2016] 0.2
278 NA 1 2016 2016 [2016] 2.0
279 NA 1 2016 2016 [2016] 2.0
280 NA 1 2016 2016 [2016] 2.0
281 NA 1 2016 2016 [2016] 27.9
282 NA 1 2016 2016 [2016] 0.2
283 NA 1 2016 2016 [2016] 0.1
284 NA 1 2016 2016 [2016] 1.0
285 NA 1 2016 2016 [2016] 1.0
286 NA 1 2016 2016 [2016] 1.0
287 NA 1 2016 2016 [2016] 2.7
288 NA 1 2016 2016 [2016] 41.6
289 NA 1 2016 2016 [2016] 41.6
290 NA 1 2016 2016 [2016] 41.6
291 NA 1 2016 2016 [2016] 1.4
292 NA 1 2016 2016 [2016] 1.4
293 NA 1 2016 2016 [2016] 1.4
294 NA 1 2016 2016 [2016] 1.4
295 NA 1 2016 2016 [2016] 1.4
296 NA 1 2016 2016 [2016] 1.4
297 NA 1 2016 2016 [2016] 1.4
298 NA 1 2016 2016 [2016] 1.4
299 NA 1 2016 2016 [2016] 1.4
300 NA 1 2016 2016 [2016] 1.4
301 NA 1 2016 2016 [2016] 1.4
302 NA 1 2016 2016 [2016] 1.4
303 NA 1 2016 2016 [2016] 1.0
304 NA 1 2016 2016 [2016] 1.0
305 NA 1 2016 2016 [2016] 1.0
306 NA 1 2016 2016 [2016] 4.0
307 NA 1 2016 2016 [2016] 4.0
308 NA 1 2016 2016 [2016] 4.0
309 NA 1 2016 2016 [2016] 0.2
310 NA 1 2016 2016 [2016] 31.6
311 NA 1 2016 2016 [2016] 31.6
312 NA 1 2016 2016 [2016] 31.6
313 NA 1 2016 2016 [2016] 0.3
314 NA 1 2016 2016 [2016] 0.3
315 NA 1 2016 2016 [2016] 0.3
316 NA 1 2016 2016 [2016] 0.1
317 NA 1 2016 2016 [2016] 0.1
318 NA 1 2016 2016 [2016] 0.1
319 NA 1 2016 2016 [2016] 0.2
320 NA 1 2016 2016 [2016] 0.2
321 NA 1 2016 2016 [2016] 0.2
322 NA 1 2016 2016 [2016] 0.4
323 NA 1 2016 2016 [2016] 0.4
324 NA 1 2016 2016 [2016] 0.4
325 NA 1 2016 2016 [2016] 0.4
326 NA 1 2016 2016 [2016] 1.5
327 NA 1 2016 2016 [2016] 1.5
328 NA 1 2016 2016 [2016] 1.5
329 NA 1 2016 2016 [2016] 1.5
330 NA 1 2016 2016 [2016] 34.9
latest_value.x footnotes.x nature.x ObjectId.y goal_code.y
1 0.1 NA E: Estimated data 263 6
2 12.6 NA E: Estimated data 204 6
3 12.6 NA E: Estimated data 203 6
4 12.6 NA E: Estimated data 202 6
5 0.1 NA E: Estimated data 250 6
6 6.5 NA E: Estimated data 264 6
7 6.5 NA E: Estimated data 266 6
8 6.5 NA E: Estimated data 265 6
9 1.9 NA E: Estimated data 231 6
10 1.9 NA E: Estimated data 232 6
11 1.9 NA E: Estimated data 233 6
12 0.4 NA E: Estimated data 267 6
13 82.1 NA E: Estimated data 268 6
14 82.1 NA E: Estimated data 269 6
15 82.1 NA E: Estimated data 270 6
16 1.2 NA E: Estimated data 74 6
17 1.2 NA E: Estimated data 73 6
18 1.2 NA E: Estimated data 74 6
19 1.2 NA E: Estimated data 73 6
20 101.0 NA E: Estimated data 273 6
21 101.0 NA E: Estimated data 271 6
22 101.0 NA E: Estimated data 272 6
23 0.2 NA E: Estimated data 274 6
24 0.2 NA E: Estimated data 275 6
25 0.6 NA E: Estimated data 276 6
26 0.8 NA E: Estimated data 278 6
27 0.8 NA E: Estimated data 277 6
28 0.8 NA E: Estimated data 279 6
29 38.7 NA E: Estimated data 282 6
30 38.7 NA E: Estimated data 281 6
31 38.7 NA E: Estimated data 280 6
32 59.8 NA E: Estimated data 298 6
33 59.8 NA E: Estimated data 297 6
34 59.8 NA E: Estimated data 296 6
35 0.9 NA E: Estimated data 285 6
36 0.9 NA E: Estimated data 284 6
37 0.9 NA E: Estimated data 283 6
38 0.1 NA E: Estimated data 291 6
41 0.3 NA E: Estimated data 292 6
42 0.3 NA E: Estimated data 299 6
43 0.6 NA E: Estimated data 302 6
44 0.6 NA E: Estimated data 300 6
45 0.6 NA E: Estimated data 301 6
46 2.0 NA E: Estimated data 303 6
47 43.7 NA E: Estimated data 306 6
48 43.7 NA E: Estimated data 308 6
49 43.7 NA E: Estimated data 307 6
50 0.0 NA E: Estimated data 304 6
51 0.0 NA E: Estimated data 309 6
52 0.3 NA E: Estimated data 310 6
53 0.3 NA E: Estimated data 311 6
54 0.2 NA E: Estimated data 318 6
55 0.2 NA E: Estimated data 320 6
56 0.2 NA E: Estimated data 319 6
57 29.7 NA E: Estimated data 316 6
58 29.7 NA E: Estimated data 315 6
59 29.7 NA E: Estimated data 317 6
60 0.6 NA E: Estimated data 321 6
61 18.8 NA E: Estimated data 323 6
62 18.8 NA E: Estimated data 324 6
63 18.8 NA E: Estimated data 322 6
64 16.7 NA E: Estimated data 161 6
65 16.7 NA E: Estimated data 160 6
66 16.7 NA E: Estimated data 165 6
67 16.7 NA E: Estimated data 162 6
68 16.7 NA E: Estimated data 163 6
69 16.7 NA E: Estimated data 164 6
70 16.7 NA E: Estimated data 161 6
71 16.7 NA E: Estimated data 160 6
72 16.7 NA E: Estimated data 165 6
73 16.7 NA E: Estimated data 162 6
74 16.7 NA E: Estimated data 163 6
75 16.7 NA E: Estimated data 164 6
76 0.0 NA E: Estimated data 123 6
78 1.1 NA E: Estimated data 242 6
79 1.1 NA E: Estimated data 241 6
80 1.1 NA E: Estimated data 240 6
81 6.3 NA E: Estimated data 129 6
82 6.3 NA E: Estimated data 130 6
83 6.3 NA E: Estimated data 131 6
84 3.6 NA E: Estimated data 135 6
85 0.2 NA E: Estimated data 138 6
86 0.2 NA E: Estimated data 136 6
87 0.2 NA E: Estimated data 137 6
88 0.1 NA E: Estimated data 139 6
89 18.6 NA E: Estimated data 140 6
90 0.1 NA E: Estimated data 238 6
91 1.0 NA E: Estimated data 142 6
92 1.0 NA E: Estimated data 143 6
93 1.0 NA E: Estimated data 144 6
94 1.0 NA E: Estimated data 141 6
95 1.0 NA E: Estimated data 146 6
96 1.0 NA E: Estimated data 145 6
97 1.0 NA E: Estimated data 142 6
98 1.0 NA E: Estimated data 143 6
99 1.0 NA E: Estimated data 144 6
100 1.0 NA E: Estimated data 141 6
101 1.0 NA E: Estimated data 146 6
102 1.0 NA E: Estimated data 145 6
103 3.0 NA E: Estimated data 147 6
104 3.0 NA E: Estimated data 148 6
105 3.0 NA E: Estimated data 149 6
106 0.1 NA E: Estimated data 150 6
107 0.2 NA E: Estimated data 153 6
108 0.2 NA E: Estimated data 152 6
109 0.2 NA E: Estimated data 154 6
110 0.1 NA E: Estimated data 155 6
111 47.2 NA E: Estimated data 288 6
112 47.2 NA E: Estimated data 286 6
113 47.2 NA E: Estimated data 287 6
114 0.2 NA E: Estimated data 156 6
115 0.4 NA E: Estimated data 158 6
116 13.9 NA E: Estimated data 226 6
117 13.9 NA E: Estimated data 229 6
118 13.9 NA E: Estimated data 227 6
119 13.9 NA E: Estimated data 228 6
120 13.9 NA E: Estimated data 225 6
121 13.9 NA E: Estimated data 224 6
122 13.9 NA E: Estimated data 226 6
123 13.9 NA E: Estimated data 229 6
124 13.9 NA E: Estimated data 227 6
125 13.9 NA E: Estimated data 228 6
126 13.9 NA E: Estimated data 225 6
127 13.9 NA E: Estimated data 224 6
128 0.1 NA E: Estimated data 239 6
129 0.6 NA E: Estimated data 157 6
130 51.2 NA E: Estimated data 159 6
131 1.4 NA E: Estimated data 293 6
132 1.4 NA E: Estimated data 294 6
133 1.4 NA E: Estimated data 295 6
134 1.8 NA E: Estimated data 37 6
135 0.0 NA E: Estimated data 166 6
136 0.8 NA E: Estimated data 167 6
137 0.8 NA E: Estimated data 168 6
138 0.8 NA E: Estimated data 169 6
139 11.3 NA E: Estimated data 170 6
140 11.3 NA E: Estimated data 171 6
141 11.3 NA E: Estimated data 172 6
142 0.8 NA E: Estimated data 174 6
143 44.4 NA E: Estimated data 175 6
144 44.4 NA E: Estimated data 176 6
145 44.4 NA E: Estimated data 177 6
146 0.0 NA E: Estimated data 173 6
147 0.1 NA E: Estimated data 180 6
148 0.1 NA E: Estimated data 179 6
149 0.0 NA E: Estimated data 183 6
150 0.0 NA E: Estimated data 181 6
151 0.0 NA E: Estimated data 182 6
152 30.2 NA E: Estimated data 184 6
153 30.2 NA E: Estimated data 185 6
154 30.2 NA E: Estimated data 186 6
155 0.4 NA E: Estimated data 187 6
156 0.0 NA E: Estimated data 188 6
157 0.0 NA E: Estimated data 243 6
158 1.1 NA E: Estimated data 191 6
159 1.3 NA E: Estimated data 196 6
160 1.3 NA E: Estimated data 195 6
161 1.3 NA E: Estimated data 194 6
162 0.1 NA E: Estimated data 38 6
163 0.0 NA E: Estimated data 198 6
164 0.0 NA E: Estimated data 197 6
165 11.9 NA E: Estimated data 245 6
166 11.9 NA E: Estimated data 249 6
167 11.9 NA E: Estimated data 244 6
168 11.9 NA E: Estimated data 246 6
169 11.9 NA E: Estimated data 247 6
170 11.9 NA E: Estimated data 248 6
171 11.9 NA E: Estimated data 245 6
172 11.9 NA E: Estimated data 249 6
173 11.9 NA E: Estimated data 244 6
174 11.9 NA E: Estimated data 246 6
175 11.9 NA E: Estimated data 247 6
176 11.9 NA E: Estimated data 248 6
177 1.9 NA E: Estimated data 199 6
178 1.9 NA E: Estimated data 201 6
179 1.9 NA E: Estimated data 200 6
180 0.2 NA E: Estimated data 237 6
181 0.0 NA E: Estimated data 9 6
182 19.8 NA E: Estimated data 206 6
183 19.8 NA E: Estimated data 205 6
184 19.8 NA E: Estimated data 208 6
185 19.8 NA E: Estimated data 210 6
186 19.8 NA E: Estimated data 209 6
187 19.8 NA E: Estimated data 207 6
188 19.8 NA E: Estimated data 206 6
189 19.8 NA E: Estimated data 205 6
190 19.8 NA E: Estimated data 208 6
191 19.8 NA E: Estimated data 210 6
192 19.8 NA E: Estimated data 209 6
193 19.8 NA E: Estimated data 207 6
194 0.2 NA E: Estimated data 211 6
195 10.4 NA E: Estimated data 112 6
196 10.4 NA E: Estimated data 113 6
197 10.4 NA E: Estimated data 112 6
198 10.4 NA E: Estimated data 113 6
199 0.1 NA E: Estimated data 214 6
200 2.2 NA E: Estimated data 216 6
201 2.2 NA E: Estimated data 215 6
202 2.2 NA E: Estimated data 217 6
203 0.3 NA E: Estimated data 251 6
204 68.6 NA E: Estimated data 219 6
205 68.6 NA E: Estimated data 220 6
206 68.6 NA E: Estimated data 218 6
207 0.2 NA E: Estimated data 8 6
208 19.6 NA E: Estimated data 12 6
209 19.6 NA E: Estimated data 11 6
210 19.6 NA E: Estimated data 13 6
211 19.6 NA E: Estimated data 14 6
212 19.6 NA E: Estimated data 10 6
213 19.6 NA E: Estimated data 15 6
214 19.6 NA E: Estimated data 12 6
215 19.6 NA E: Estimated data 11 6
216 19.6 NA E: Estimated data 13 6
217 19.6 NA E: Estimated data 14 6
218 19.6 NA E: Estimated data 10 6
219 19.6 NA E: Estimated data 15 6
220 1.5 NA E: Estimated data 24 6
221 1.5 NA E: Estimated data 23 6
222 1.5 NA E: Estimated data 22 6
223 1.3 NA E: Estimated data 25 6
224 1.3 NA E: Estimated data 26 6
225 1.3 NA E: Estimated data 27 6
226 4.2 NA E: Estimated data 28 6
227 4.2 NA E: Estimated data 30 6
228 4.2 NA E: Estimated data 29 6
229 0.1 NA E: Estimated data 31 6
230 0.2 NA E: Estimated data 34 6
231 0.2 NA E: Estimated data 33 6
232 0.2 NA E: Estimated data 32 6
233 35.3 NA E: Estimated data 132 6
234 35.3 NA E: Estimated data 133 6
235 35.3 NA E: Estimated data 134 6
236 0.0 NA E: Estimated data 36 6
237 3.9 NA E: Estimated data 252 6
238 3.9 NA E: Estimated data 253 6
239 3.9 NA E: Estimated data 257 6
240 3.9 NA E: Estimated data 254 6
241 3.9 NA E: Estimated data 255 6
242 3.9 NA E: Estimated data 256 6
243 3.9 NA E: Estimated data 252 6
244 3.9 NA E: Estimated data 253 6
245 3.9 NA E: Estimated data 257 6
246 3.9 NA E: Estimated data 254 6
247 3.9 NA E: Estimated data 255 6
248 3.9 NA E: Estimated data 256 6
249 0.4 NA E: Estimated data 41 6
250 0.4 NA E: Estimated data 42 6
251 0.4 NA E: Estimated data 40 6
252 0.1 NA E: Estimated data 43 6
253 19.3 NA E: Estimated data 45 6
254 19.3 NA E: Estimated data 44 6
255 19.3 NA E: Estimated data 46 6
256 11.4 NA E: Estimated data 58 6
257 11.4 NA E: Estimated data 56 6
258 11.4 NA E: Estimated data 57 6
259 0.7 NA E: Estimated data 59 6
260 0.7 NA E: Estimated data 61 6
261 0.7 NA E: Estimated data 60 6
262 81.3 NA E: Estimated data 63 6
263 81.3 NA E: Estimated data 64 6
264 81.3 NA E: Estimated data 62 6
265 0.1 NA E: Estimated data 258 6
266 0.1 NA E: Estimated data 66 6
267 0.1 NA E: Estimated data 65 6
268 0.0 NA E: Estimated data 67 6
269 0.0 NA E: Estimated data 68 6
270 13.7 NA E: Estimated data 69 6
271 24.6 NA E: Estimated data 120 6
272 24.6 NA E: Estimated data 121 6
273 24.6 NA E: Estimated data 119 6
274 11.8 NA E: Estimated data 259 6
275 0.2 NA E: Estimated data 71 6
276 0.2 NA E: Estimated data 72 6
277 0.2 NA E: Estimated data 70 6
278 2.0 NA E: Estimated data 80 6
279 2.0 NA E: Estimated data 78 6
280 2.0 NA E: Estimated data 79 6
281 27.9 NA E: Estimated data 305 6
282 0.2 NA E: Estimated data 81 6
283 0.1 NA E: Estimated data 82 6
284 1.0 NA E: Estimated data 262 6
285 1.0 NA E: Estimated data 260 6
286 1.0 NA E: Estimated data 261 6
287 2.7 NA E: Estimated data 83 6
288 41.6 NA E: Estimated data 84 6
289 41.6 NA E: Estimated data 86 6
290 41.6 NA E: Estimated data 85 6
291 1.4 NA E: Estimated data 92 6
292 1.4 NA E: Estimated data 91 6
293 1.4 NA E: Estimated data 87 6
294 1.4 NA E: Estimated data 89 6
295 1.4 NA E: Estimated data 90 6
296 1.4 NA E: Estimated data 88 6
297 1.4 NA E: Estimated data 92 6
298 1.4 NA E: Estimated data 91 6
299 1.4 NA E: Estimated data 87 6
300 1.4 NA E: Estimated data 89 6
301 1.4 NA E: Estimated data 90 6
302 1.4 NA E: Estimated data 88 6
303 1.0 NA E: Estimated data 94 6
304 1.0 NA E: Estimated data 93 6
305 1.0 NA E: Estimated data 95 6
306 4.0 NA E: Estimated data 98 6
307 4.0 NA E: Estimated data 97 6
308 4.0 NA E: Estimated data 96 6
309 0.2 NA E: Estimated data 230 6
310 31.6 NA E: Estimated data 101 6
311 31.6 NA E: Estimated data 103 6
312 31.6 NA E: Estimated data 102 6
313 0.3 NA E: Estimated data 104 6
314 0.3 NA E: Estimated data 2 6
315 0.3 NA E: Estimated data 105 6
316 0.1 NA E: Estimated data 1 6
317 0.1 NA E: Estimated data 223 6
318 0.1 NA E: Estimated data 3 6
319 0.2 NA E: Estimated data 4 6
320 0.2 NA E: Estimated data 6 6
321 0.2 NA E: Estimated data 106 6
322 0.4 NA E: Estimated data 108 6
323 0.4 NA E: Estimated data 111 6
324 0.4 NA E: Estimated data 110 6
325 0.4 NA E: Estimated data 109 6
326 1.5 NA E: Estimated data 54 6
327 1.5 NA E: Estimated data 53 6
328 1.5 NA E: Estimated data 54 6
329 1.5 NA E: Estimated data 53 6
330 34.9 NA E: Estimated data 118 6
goal_labelEN.y
1 Goal 6
2 Goal 6
3 Goal 6
4 Goal 6
5 Goal 6
6 Goal 6
7 Goal 6
8 Goal 6
9 Goal 6
10 Goal 6
11 Goal 6
12 Goal 6
13 Goal 6
14 Goal 6
15 Goal 6
16 Goal 6
17 Goal 6
18 Goal 6
19 Goal 6
20 Goal 6
21 Goal 6
22 Goal 6
23 Goal 6
24 Goal 6
25 Goal 6
26 Goal 6
27 Goal 6
28 Goal 6
29 Goal 6
30 Goal 6
31 Goal 6
32 Goal 6
33 Goal 6
34 Goal 6
35 Goal 6
36 Goal 6
37 Goal 6
38 Goal 6
41 Goal 6
42 Goal 6
43 Goal 6
44 Goal 6
45 Goal 6
46 Goal 6
47 Goal 6
48 Goal 6
49 Goal 6
50 Goal 6
51 Goal 6
52 Goal 6
53 Goal 6
54 Goal 6
55 Goal 6
56 Goal 6
57 Goal 6
58 Goal 6
59 Goal 6
60 Goal 6
61 Goal 6
62 Goal 6
63 Goal 6
64 Goal 6
65 Goal 6
66 Goal 6
67 Goal 6
68 Goal 6
69 Goal 6
70 Goal 6
71 Goal 6
72 Goal 6
73 Goal 6
74 Goal 6
75 Goal 6
76 Goal 6
78 Goal 6
79 Goal 6
80 Goal 6
81 Goal 6
82 Goal 6
83 Goal 6
84 Goal 6
85 Goal 6
86 Goal 6
87 Goal 6
88 Goal 6
89 Goal 6
90 Goal 6
91 Goal 6
92 Goal 6
93 Goal 6
94 Goal 6
95 Goal 6
96 Goal 6
97 Goal 6
98 Goal 6
99 Goal 6
100 Goal 6
101 Goal 6
102 Goal 6
103 Goal 6
104 Goal 6
105 Goal 6
106 Goal 6
107 Goal 6
108 Goal 6
109 Goal 6
110 Goal 6
111 Goal 6
112 Goal 6
113 Goal 6
114 Goal 6
115 Goal 6
116 Goal 6
117 Goal 6
118 Goal 6
119 Goal 6
120 Goal 6
121 Goal 6
122 Goal 6
123 Goal 6
124 Goal 6
125 Goal 6
126 Goal 6
127 Goal 6
128 Goal 6
129 Goal 6
130 Goal 6
131 Goal 6
132 Goal 6
133 Goal 6
134 Goal 6
135 Goal 6
136 Goal 6
137 Goal 6
138 Goal 6
139 Goal 6
140 Goal 6
141 Goal 6
142 Goal 6
143 Goal 6
144 Goal 6
145 Goal 6
146 Goal 6
147 Goal 6
148 Goal 6
149 Goal 6
150 Goal 6
151 Goal 6
152 Goal 6
153 Goal 6
154 Goal 6
155 Goal 6
156 Goal 6
157 Goal 6
158 Goal 6
159 Goal 6
160 Goal 6
161 Goal 6
162 Goal 6
163 Goal 6
164 Goal 6
165 Goal 6
166 Goal 6
167 Goal 6
168 Goal 6
169 Goal 6
170 Goal 6
171 Goal 6
172 Goal 6
173 Goal 6
174 Goal 6
175 Goal 6
176 Goal 6
177 Goal 6
178 Goal 6
179 Goal 6
180 Goal 6
181 Goal 6
182 Goal 6
183 Goal 6
184 Goal 6
185 Goal 6
186 Goal 6
187 Goal 6
188 Goal 6
189 Goal 6
190 Goal 6
191 Goal 6
192 Goal 6
193 Goal 6
194 Goal 6
195 Goal 6
196 Goal 6
197 Goal 6
198 Goal 6
199 Goal 6
200 Goal 6
201 Goal 6
202 Goal 6
203 Goal 6
204 Goal 6
205 Goal 6
206 Goal 6
207 Goal 6
208 Goal 6
209 Goal 6
210 Goal 6
211 Goal 6
212 Goal 6
213 Goal 6
214 Goal 6
215 Goal 6
216 Goal 6
217 Goal 6
218 Goal 6
219 Goal 6
220 Goal 6
221 Goal 6
222 Goal 6
223 Goal 6
224 Goal 6
225 Goal 6
226 Goal 6
227 Goal 6
228 Goal 6
229 Goal 6
230 Goal 6
231 Goal 6
232 Goal 6
233 Goal 6
234 Goal 6
235 Goal 6
236 Goal 6
237 Goal 6
238 Goal 6
239 Goal 6
240 Goal 6
241 Goal 6
242 Goal 6
243 Goal 6
244 Goal 6
245 Goal 6
246 Goal 6
247 Goal 6
248 Goal 6
249 Goal 6
250 Goal 6
251 Goal 6
252 Goal 6
253 Goal 6
254 Goal 6
255 Goal 6
256 Goal 6
257 Goal 6
258 Goal 6
259 Goal 6
260 Goal 6
261 Goal 6
262 Goal 6
263 Goal 6
264 Goal 6
265 Goal 6
266 Goal 6
267 Goal 6
268 Goal 6
269 Goal 6
270 Goal 6
271 Goal 6
272 Goal 6
273 Goal 6
274 Goal 6
275 Goal 6
276 Goal 6
277 Goal 6
278 Goal 6
279 Goal 6
280 Goal 6
281 Goal 6
282 Goal 6
283 Goal 6
284 Goal 6
285 Goal 6
286 Goal 6
287 Goal 6
288 Goal 6
289 Goal 6
290 Goal 6
291 Goal 6
292 Goal 6
293 Goal 6
294 Goal 6
295 Goal 6
296 Goal 6
297 Goal 6
298 Goal 6
299 Goal 6
300 Goal 6
301 Goal 6
302 Goal 6
303 Goal 6
304 Goal 6
305 Goal 6
306 Goal 6
307 Goal 6
308 Goal 6
309 Goal 6
310 Goal 6
311 Goal 6
312 Goal 6
313 Goal 6
314 Goal 6
315 Goal 6
316 Goal 6
317 Goal 6
318 Goal 6
319 Goal 6
320 Goal 6
321 Goal 6
322 Goal 6
323 Goal 6
324 Goal 6
325 Goal 6
326 Goal 6
327 Goal 6
328 Goal 6
329 Goal 6
330 Goal 6
goal_descEN.y
1 Ensure availability and sustainable management of water and sanitation for all
2 Ensure availability and sustainable management of water and sanitation for all
3 Ensure availability and sustainable management of water and sanitation for all
4 Ensure availability and sustainable management of water and sanitation for all
5 Ensure availability and sustainable management of water and sanitation for all
6 Ensure availability and sustainable management of water and sanitation for all
7 Ensure availability and sustainable management of water and sanitation for all
8 Ensure availability and sustainable management of water and sanitation for all
9 Ensure availability and sustainable management of water and sanitation for all
10 Ensure availability and sustainable management of water and sanitation for all
11 Ensure availability and sustainable management of water and sanitation for all
12 Ensure availability and sustainable management of water and sanitation for all
13 Ensure availability and sustainable management of water and sanitation for all
14 Ensure availability and sustainable management of water and sanitation for all
15 Ensure availability and sustainable management of water and sanitation for all
16 Ensure availability and sustainable management of water and sanitation for all
17 Ensure availability and sustainable management of water and sanitation for all
18 Ensure availability and sustainable management of water and sanitation for all
19 Ensure availability and sustainable management of water and sanitation for all
20 Ensure availability and sustainable management of water and sanitation for all
21 Ensure availability and sustainable management of water and sanitation for all
22 Ensure availability and sustainable management of water and sanitation for all
23 Ensure availability and sustainable management of water and sanitation for all
24 Ensure availability and sustainable management of water and sanitation for all
25 Ensure availability and sustainable management of water and sanitation for all
26 Ensure availability and sustainable management of water and sanitation for all
27 Ensure availability and sustainable management of water and sanitation for all
28 Ensure availability and sustainable management of water and sanitation for all
29 Ensure availability and sustainable management of water and sanitation for all
30 Ensure availability and sustainable management of water and sanitation for all
31 Ensure availability and sustainable management of water and sanitation for all
32 Ensure availability and sustainable management of water and sanitation for all
33 Ensure availability and sustainable management of water and sanitation for all
34 Ensure availability and sustainable management of water and sanitation for all
35 Ensure availability and sustainable management of water and sanitation for all
36 Ensure availability and sustainable management of water and sanitation for all
37 Ensure availability and sustainable management of water and sanitation for all
38 Ensure availability and sustainable management of water and sanitation for all
41 Ensure availability and sustainable management of water and sanitation for all
42 Ensure availability and sustainable management of water and sanitation for all
43 Ensure availability and sustainable management of water and sanitation for all
44 Ensure availability and sustainable management of water and sanitation for all
45 Ensure availability and sustainable management of water and sanitation for all
46 Ensure availability and sustainable management of water and sanitation for all
47 Ensure availability and sustainable management of water and sanitation for all
48 Ensure availability and sustainable management of water and sanitation for all
49 Ensure availability and sustainable management of water and sanitation for all
50 Ensure availability and sustainable management of water and sanitation for all
51 Ensure availability and sustainable management of water and sanitation for all
52 Ensure availability and sustainable management of water and sanitation for all
53 Ensure availability and sustainable management of water and sanitation for all
54 Ensure availability and sustainable management of water and sanitation for all
55 Ensure availability and sustainable management of water and sanitation for all
56 Ensure availability and sustainable management of water and sanitation for all
57 Ensure availability and sustainable management of water and sanitation for all
58 Ensure availability and sustainable management of water and sanitation for all
59 Ensure availability and sustainable management of water and sanitation for all
60 Ensure availability and sustainable management of water and sanitation for all
61 Ensure availability and sustainable management of water and sanitation for all
62 Ensure availability and sustainable management of water and sanitation for all
63 Ensure availability and sustainable management of water and sanitation for all
64 Ensure availability and sustainable management of water and sanitation for all
65 Ensure availability and sustainable management of water and sanitation for all
66 Ensure availability and sustainable management of water and sanitation for all
67 Ensure availability and sustainable management of water and sanitation for all
68 Ensure availability and sustainable management of water and sanitation for all
69 Ensure availability and sustainable management of water and sanitation for all
70 Ensure availability and sustainable management of water and sanitation for all
71 Ensure availability and sustainable management of water and sanitation for all
72 Ensure availability and sustainable management of water and sanitation for all
73 Ensure availability and sustainable management of water and sanitation for all
74 Ensure availability and sustainable management of water and sanitation for all
75 Ensure availability and sustainable management of water and sanitation for all
76 Ensure availability and sustainable management of water and sanitation for all
78 Ensure availability and sustainable management of water and sanitation for all
79 Ensure availability and sustainable management of water and sanitation for all
80 Ensure availability and sustainable management of water and sanitation for all
81 Ensure availability and sustainable management of water and sanitation for all
82 Ensure availability and sustainable management of water and sanitation for all
83 Ensure availability and sustainable management of water and sanitation for all
84 Ensure availability and sustainable management of water and sanitation for all
85 Ensure availability and sustainable management of water and sanitation for all
86 Ensure availability and sustainable management of water and sanitation for all
87 Ensure availability and sustainable management of water and sanitation for all
88 Ensure availability and sustainable management of water and sanitation for all
89 Ensure availability and sustainable management of water and sanitation for all
90 Ensure availability and sustainable management of water and sanitation for all
91 Ensure availability and sustainable management of water and sanitation for all
92 Ensure availability and sustainable management of water and sanitation for all
93 Ensure availability and sustainable management of water and sanitation for all
94 Ensure availability and sustainable management of water and sanitation for all
95 Ensure availability and sustainable management of water and sanitation for all
96 Ensure availability and sustainable management of water and sanitation for all
97 Ensure availability and sustainable management of water and sanitation for all
98 Ensure availability and sustainable management of water and sanitation for all
99 Ensure availability and sustainable management of water and sanitation for all
100 Ensure availability and sustainable management of water and sanitation for all
101 Ensure availability and sustainable management of water and sanitation for all
102 Ensure availability and sustainable management of water and sanitation for all
103 Ensure availability and sustainable management of water and sanitation for all
104 Ensure availability and sustainable management of water and sanitation for all
105 Ensure availability and sustainable management of water and sanitation for all
106 Ensure availability and sustainable management of water and sanitation for all
107 Ensure availability and sustainable management of water and sanitation for all
108 Ensure availability and sustainable management of water and sanitation for all
109 Ensure availability and sustainable management of water and sanitation for all
110 Ensure availability and sustainable management of water and sanitation for all
111 Ensure availability and sustainable management of water and sanitation for all
112 Ensure availability and sustainable management of water and sanitation for all
113 Ensure availability and sustainable management of water and sanitation for all
114 Ensure availability and sustainable management of water and sanitation for all
115 Ensure availability and sustainable management of water and sanitation for all
116 Ensure availability and sustainable management of water and sanitation for all
117 Ensure availability and sustainable management of water and sanitation for all
118 Ensure availability and sustainable management of water and sanitation for all
119 Ensure availability and sustainable management of water and sanitation for all
120 Ensure availability and sustainable management of water and sanitation for all
121 Ensure availability and sustainable management of water and sanitation for all
122 Ensure availability and sustainable management of water and sanitation for all
123 Ensure availability and sustainable management of water and sanitation for all
124 Ensure availability and sustainable management of water and sanitation for all
125 Ensure availability and sustainable management of water and sanitation for all
126 Ensure availability and sustainable management of water and sanitation for all
127 Ensure availability and sustainable management of water and sanitation for all
128 Ensure availability and sustainable management of water and sanitation for all
129 Ensure availability and sustainable management of water and sanitation for all
130 Ensure availability and sustainable management of water and sanitation for all
131 Ensure availability and sustainable management of water and sanitation for all
132 Ensure availability and sustainable management of water and sanitation for all
133 Ensure availability and sustainable management of water and sanitation for all
134 Ensure availability and sustainable management of water and sanitation for all
135 Ensure availability and sustainable management of water and sanitation for all
136 Ensure availability and sustainable management of water and sanitation for all
137 Ensure availability and sustainable management of water and sanitation for all
138 Ensure availability and sustainable management of water and sanitation for all
139 Ensure availability and sustainable management of water and sanitation for all
140 Ensure availability and sustainable management of water and sanitation for all
141 Ensure availability and sustainable management of water and sanitation for all
142 Ensure availability and sustainable management of water and sanitation for all
143 Ensure availability and sustainable management of water and sanitation for all
144 Ensure availability and sustainable management of water and sanitation for all
145 Ensure availability and sustainable management of water and sanitation for all
146 Ensure availability and sustainable management of water and sanitation for all
147 Ensure availability and sustainable management of water and sanitation for all
148 Ensure availability and sustainable management of water and sanitation for all
149 Ensure availability and sustainable management of water and sanitation for all
150 Ensure availability and sustainable management of water and sanitation for all
151 Ensure availability and sustainable management of water and sanitation for all
152 Ensure availability and sustainable management of water and sanitation for all
153 Ensure availability and sustainable management of water and sanitation for all
154 Ensure availability and sustainable management of water and sanitation for all
155 Ensure availability and sustainable management of water and sanitation for all
156 Ensure availability and sustainable management of water and sanitation for all
157 Ensure availability and sustainable management of water and sanitation for all
158 Ensure availability and sustainable management of water and sanitation for all
159 Ensure availability and sustainable management of water and sanitation for all
160 Ensure availability and sustainable management of water and sanitation for all
161 Ensure availability and sustainable management of water and sanitation for all
162 Ensure availability and sustainable management of water and sanitation for all
163 Ensure availability and sustainable management of water and sanitation for all
164 Ensure availability and sustainable management of water and sanitation for all
165 Ensure availability and sustainable management of water and sanitation for all
166 Ensure availability and sustainable management of water and sanitation for all
167 Ensure availability and sustainable management of water and sanitation for all
168 Ensure availability and sustainable management of water and sanitation for all
169 Ensure availability and sustainable management of water and sanitation for all
170 Ensure availability and sustainable management of water and sanitation for all
171 Ensure availability and sustainable management of water and sanitation for all
172 Ensure availability and sustainable management of water and sanitation for all
173 Ensure availability and sustainable management of water and sanitation for all
174 Ensure availability and sustainable management of water and sanitation for all
175 Ensure availability and sustainable management of water and sanitation for all
176 Ensure availability and sustainable management of water and sanitation for all
177 Ensure availability and sustainable management of water and sanitation for all
178 Ensure availability and sustainable management of water and sanitation for all
179 Ensure availability and sustainable management of water and sanitation for all
180 Ensure availability and sustainable management of water and sanitation for all
181 Ensure availability and sustainable management of water and sanitation for all
182 Ensure availability and sustainable management of water and sanitation for all
183 Ensure availability and sustainable management of water and sanitation for all
184 Ensure availability and sustainable management of water and sanitation for all
185 Ensure availability and sustainable management of water and sanitation for all
186 Ensure availability and sustainable management of water and sanitation for all
187 Ensure availability and sustainable management of water and sanitation for all
188 Ensure availability and sustainable management of water and sanitation for all
189 Ensure availability and sustainable management of water and sanitation for all
190 Ensure availability and sustainable management of water and sanitation for all
191 Ensure availability and sustainable management of water and sanitation for all
192 Ensure availability and sustainable management of water and sanitation for all
193 Ensure availability and sustainable management of water and sanitation for all
194 Ensure availability and sustainable management of water and sanitation for all
195 Ensure availability and sustainable management of water and sanitation for all
196 Ensure availability and sustainable management of water and sanitation for all
197 Ensure availability and sustainable management of water and sanitation for all
198 Ensure availability and sustainable management of water and sanitation for all
199 Ensure availability and sustainable management of water and sanitation for all
200 Ensure availability and sustainable management of water and sanitation for all
201 Ensure availability and sustainable management of water and sanitation for all
202 Ensure availability and sustainable management of water and sanitation for all
203 Ensure availability and sustainable management of water and sanitation for all
204 Ensure availability and sustainable management of water and sanitation for all
205 Ensure availability and sustainable management of water and sanitation for all
206 Ensure availability and sustainable management of water and sanitation for all
207 Ensure availability and sustainable management of water and sanitation for all
208 Ensure availability and sustainable management of water and sanitation for all
209 Ensure availability and sustainable management of water and sanitation for all
210 Ensure availability and sustainable management of water and sanitation for all
211 Ensure availability and sustainable management of water and sanitation for all
212 Ensure availability and sustainable management of water and sanitation for all
213 Ensure availability and sustainable management of water and sanitation for all
214 Ensure availability and sustainable management of water and sanitation for all
215 Ensure availability and sustainable management of water and sanitation for all
216 Ensure availability and sustainable management of water and sanitation for all
217 Ensure availability and sustainable management of water and sanitation for all
218 Ensure availability and sustainable management of water and sanitation for all
219 Ensure availability and sustainable management of water and sanitation for all
220 Ensure availability and sustainable management of water and sanitation for all
221 Ensure availability and sustainable management of water and sanitation for all
222 Ensure availability and sustainable management of water and sanitation for all
223 Ensure availability and sustainable management of water and sanitation for all
224 Ensure availability and sustainable management of water and sanitation for all
225 Ensure availability and sustainable management of water and sanitation for all
226 Ensure availability and sustainable management of water and sanitation for all
227 Ensure availability and sustainable management of water and sanitation for all
228 Ensure availability and sustainable management of water and sanitation for all
229 Ensure availability and sustainable management of water and sanitation for all
230 Ensure availability and sustainable management of water and sanitation for all
231 Ensure availability and sustainable management of water and sanitation for all
232 Ensure availability and sustainable management of water and sanitation for all
233 Ensure availability and sustainable management of water and sanitation for all
234 Ensure availability and sustainable management of water and sanitation for all
235 Ensure availability and sustainable management of water and sanitation for all
236 Ensure availability and sustainable management of water and sanitation for all
237 Ensure availability and sustainable management of water and sanitation for all
238 Ensure availability and sustainable management of water and sanitation for all
239 Ensure availability and sustainable management of water and sanitation for all
240 Ensure availability and sustainable management of water and sanitation for all
241 Ensure availability and sustainable management of water and sanitation for all
242 Ensure availability and sustainable management of water and sanitation for all
243 Ensure availability and sustainable management of water and sanitation for all
244 Ensure availability and sustainable management of water and sanitation for all
245 Ensure availability and sustainable management of water and sanitation for all
246 Ensure availability and sustainable management of water and sanitation for all
247 Ensure availability and sustainable management of water and sanitation for all
248 Ensure availability and sustainable management of water and sanitation for all
249 Ensure availability and sustainable management of water and sanitation for all
250 Ensure availability and sustainable management of water and sanitation for all
251 Ensure availability and sustainable management of water and sanitation for all
252 Ensure availability and sustainable management of water and sanitation for all
253 Ensure availability and sustainable management of water and sanitation for all
254 Ensure availability and sustainable management of water and sanitation for all
255 Ensure availability and sustainable management of water and sanitation for all
256 Ensure availability and sustainable management of water and sanitation for all
257 Ensure availability and sustainable management of water and sanitation for all
258 Ensure availability and sustainable management of water and sanitation for all
259 Ensure availability and sustainable management of water and sanitation for all
260 Ensure availability and sustainable management of water and sanitation for all
261 Ensure availability and sustainable management of water and sanitation for all
262 Ensure availability and sustainable management of water and sanitation for all
263 Ensure availability and sustainable management of water and sanitation for all
264 Ensure availability and sustainable management of water and sanitation for all
265 Ensure availability and sustainable management of water and sanitation for all
266 Ensure availability and sustainable management of water and sanitation for all
267 Ensure availability and sustainable management of water and sanitation for all
268 Ensure availability and sustainable management of water and sanitation for all
269 Ensure availability and sustainable management of water and sanitation for all
270 Ensure availability and sustainable management of water and sanitation for all
271 Ensure availability and sustainable management of water and sanitation for all
272 Ensure availability and sustainable management of water and sanitation for all
273 Ensure availability and sustainable management of water and sanitation for all
274 Ensure availability and sustainable management of water and sanitation for all
275 Ensure availability and sustainable management of water and sanitation for all
276 Ensure availability and sustainable management of water and sanitation for all
277 Ensure availability and sustainable management of water and sanitation for all
278 Ensure availability and sustainable management of water and sanitation for all
279 Ensure availability and sustainable management of water and sanitation for all
280 Ensure availability and sustainable management of water and sanitation for all
281 Ensure availability and sustainable management of water and sanitation for all
282 Ensure availability and sustainable management of water and sanitation for all
283 Ensure availability and sustainable management of water and sanitation for all
284 Ensure availability and sustainable management of water and sanitation for all
285 Ensure availability and sustainable management of water and sanitation for all
286 Ensure availability and sustainable management of water and sanitation for all
287 Ensure availability and sustainable management of water and sanitation for all
288 Ensure availability and sustainable management of water and sanitation for all
289 Ensure availability and sustainable management of water and sanitation for all
290 Ensure availability and sustainable management of water and sanitation for all
291 Ensure availability and sustainable management of water and sanitation for all
292 Ensure availability and sustainable management of water and sanitation for all
293 Ensure availability and sustainable management of water and sanitation for all
294 Ensure availability and sustainable management of water and sanitation for all
295 Ensure availability and sustainable management of water and sanitation for all
296 Ensure availability and sustainable management of water and sanitation for all
297 Ensure availability and sustainable management of water and sanitation for all
298 Ensure availability and sustainable management of water and sanitation for all
299 Ensure availability and sustainable management of water and sanitation for all
300 Ensure availability and sustainable management of water and sanitation for all
301 Ensure availability and sustainable management of water and sanitation for all
302 Ensure availability and sustainable management of water and sanitation for all
303 Ensure availability and sustainable management of water and sanitation for all
304 Ensure availability and sustainable management of water and sanitation for all
305 Ensure availability and sustainable management of water and sanitation for all
306 Ensure availability and sustainable management of water and sanitation for all
307 Ensure availability and sustainable management of water and sanitation for all
308 Ensure availability and sustainable management of water and sanitation for all
309 Ensure availability and sustainable management of water and sanitation for all
310 Ensure availability and sustainable management of water and sanitation for all
311 Ensure availability and sustainable management of water and sanitation for all
312 Ensure availability and sustainable management of water and sanitation for all
313 Ensure availability and sustainable management of water and sanitation for all
314 Ensure availability and sustainable management of water and sanitation for all
315 Ensure availability and sustainable management of water and sanitation for all
316 Ensure availability and sustainable management of water and sanitation for all
317 Ensure availability and sustainable management of water and sanitation for all
318 Ensure availability and sustainable management of water and sanitation for all
319 Ensure availability and sustainable management of water and sanitation for all
320 Ensure availability and sustainable management of water and sanitation for all
321 Ensure availability and sustainable management of water and sanitation for all
322 Ensure availability and sustainable management of water and sanitation for all
323 Ensure availability and sustainable management of water and sanitation for all
324 Ensure availability and sustainable management of water and sanitation for all
325 Ensure availability and sustainable management of water and sanitation for all
326 Ensure availability and sustainable management of water and sanitation for all
327 Ensure availability and sustainable management of water and sanitation for all
328 Ensure availability and sustainable management of water and sanitation for all
329 Ensure availability and sustainable management of water and sanitation for all
330 Ensure availability and sustainable management of water and sanitation for all
target_code.y
1 6.1
2 6.1
3 6.1
4 6.1
5 6.1
6 6.1
7 6.1
8 6.1
9 6.1
10 6.1
11 6.1
12 6.1
13 6.1
14 6.1
15 6.1
16 6.1
17 6.1
18 6.1
19 6.1
20 6.1
21 6.1
22 6.1
23 6.1
24 6.1
25 6.1
26 6.1
27 6.1
28 6.1
29 6.1
30 6.1
31 6.1
32 6.1
33 6.1
34 6.1
35 6.1
36 6.1
37 6.1
38 6.1
41 6.1
42 6.1
43 6.1
44 6.1
45 6.1
46 6.1
47 6.1
48 6.1
49 6.1
50 6.1
51 6.1
52 6.1
53 6.1
54 6.1
55 6.1
56 6.1
57 6.1
58 6.1
59 6.1
60 6.1
61 6.1
62 6.1
63 6.1
64 6.1
65 6.1
66 6.1
67 6.1
68 6.1
69 6.1
70 6.1
71 6.1
72 6.1
73 6.1
74 6.1
75 6.1
76 6.1
78 6.1
79 6.1
80 6.1
81 6.1
82 6.1
83 6.1
84 6.1
85 6.1
86 6.1
87 6.1
88 6.1
89 6.1
90 6.1
91 6.1
92 6.1
93 6.1
94 6.1
95 6.1
96 6.1
97 6.1
98 6.1
99 6.1
100 6.1
101 6.1
102 6.1
103 6.1
104 6.1
105 6.1
106 6.1
107 6.1
108 6.1
109 6.1
110 6.1
111 6.1
112 6.1
113 6.1
114 6.1
115 6.1
116 6.1
117 6.1
118 6.1
119 6.1
120 6.1
121 6.1
122 6.1
123 6.1
124 6.1
125 6.1
126 6.1
127 6.1
128 6.1
129 6.1
130 6.1
131 6.1
132 6.1
133 6.1
134 6.1
135 6.1
136 6.1
137 6.1
138 6.1
139 6.1
140 6.1
141 6.1
142 6.1
143 6.1
144 6.1
145 6.1
146 6.1
147 6.1
148 6.1
149 6.1
150 6.1
151 6.1
152 6.1
153 6.1
154 6.1
155 6.1
156 6.1
157 6.1
158 6.1
159 6.1
160 6.1
161 6.1
162 6.1
163 6.1
164 6.1
165 6.1
166 6.1
167 6.1
168 6.1
169 6.1
170 6.1
171 6.1
172 6.1
173 6.1
174 6.1
175 6.1
176 6.1
177 6.1
178 6.1
179 6.1
180 6.1
181 6.1
182 6.1
183 6.1
184 6.1
185 6.1
186 6.1
187 6.1
188 6.1
189 6.1
190 6.1
191 6.1
192 6.1
193 6.1
194 6.1
195 6.1
196 6.1
197 6.1
198 6.1
199 6.1
200 6.1
201 6.1
202 6.1
203 6.1
204 6.1
205 6.1
206 6.1
207 6.1
208 6.1
209 6.1
210 6.1
211 6.1
212 6.1
213 6.1
214 6.1
215 6.1
216 6.1
217 6.1
218 6.1
219 6.1
220 6.1
221 6.1
222 6.1
223 6.1
224 6.1
225 6.1
226 6.1
227 6.1
228 6.1
229 6.1
230 6.1
231 6.1
232 6.1
233 6.1
234 6.1
235 6.1
236 6.1
237 6.1
238 6.1
239 6.1
240 6.1
241 6.1
242 6.1
243 6.1
244 6.1
245 6.1
246 6.1
247 6.1
248 6.1
249 6.1
250 6.1
251 6.1
252 6.1
253 6.1
254 6.1
255 6.1
256 6.1
257 6.1
258 6.1
259 6.1
260 6.1
261 6.1
262 6.1
263 6.1
264 6.1
265 6.1
266 6.1
267 6.1
268 6.1
269 6.1
270 6.1
271 6.1
272 6.1
273 6.1
274 6.1
275 6.1
276 6.1
277 6.1
278 6.1
279 6.1
280 6.1
281 6.1
282 6.1
283 6.1
284 6.1
285 6.1
286 6.1
287 6.1
288 6.1
289 6.1
290 6.1
291 6.1
292 6.1
293 6.1
294 6.1
295 6.1
296 6.1
297 6.1
298 6.1
299 6.1
300 6.1
301 6.1
302 6.1
303 6.1
304 6.1
305 6.1
306 6.1
307 6.1
308 6.1
309 6.1
310 6.1
311 6.1
312 6.1
313 6.1
314 6.1
315 6.1
316 6.1
317 6.1
318 6.1
319 6.1
320 6.1
321 6.1
322 6.1
323 6.1
324 6.1
325 6.1
326 6.1
327 6.1
328 6.1
329 6.1
330 6.1
target_descEN.y
1 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
2 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
3 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
4 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
5 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
6 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
7 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
8 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
9 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
10 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
11 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
12 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
13 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
14 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
15 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
16 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
17 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
18 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
19 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
20 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
21 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
22 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
23 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
24 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
25 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
26 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
27 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
28 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
29 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
30 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
31 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
32 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
33 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
34 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
35 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
36 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
37 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
38 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
41 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
42 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
43 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
44 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
45 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
46 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
47 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
48 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
49 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
50 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
51 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
52 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
53 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
54 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
55 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
56 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
57 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
58 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
59 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
60 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
61 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
62 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
63 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
64 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
65 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
66 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
67 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
68 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
69 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
70 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
71 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
72 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
73 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
74 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
75 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
76 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
78 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
79 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
80 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
81 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
82 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
83 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
84 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
85 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
86 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
87 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
88 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
89 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
90 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
91 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
92 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
93 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
94 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
95 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
96 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
97 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
98 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
99 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
100 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
101 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
102 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
103 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
104 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
105 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
106 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
107 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
108 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
109 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
110 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
111 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
112 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
113 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
114 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
115 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
116 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
117 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
118 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
119 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
120 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
121 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
122 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
123 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
124 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
125 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
126 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
127 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
128 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
129 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
130 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
131 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
132 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
133 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
134 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
135 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
136 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
137 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
138 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
139 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
140 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
141 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
142 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
143 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
144 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
145 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
146 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
147 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
148 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
149 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
150 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
151 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
152 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
153 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
154 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
155 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
156 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
157 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
158 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
159 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
160 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
161 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
162 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
163 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
164 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
165 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
166 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
167 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
168 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
169 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
170 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
171 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
172 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
173 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
174 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
175 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
176 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
177 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
178 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
179 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
180 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
181 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
182 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
183 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
184 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
185 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
186 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
187 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
188 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
189 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
190 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
191 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
192 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
193 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
194 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
195 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
196 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
197 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
198 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
199 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
200 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
201 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
202 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
203 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
204 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
205 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
206 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
207 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
208 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
209 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
210 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
211 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
212 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
213 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
214 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
215 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
216 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
217 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
218 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
219 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
220 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
221 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
222 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
223 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
224 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
225 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
226 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
227 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
228 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
229 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
230 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
231 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
232 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
233 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
234 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
235 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
236 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
237 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
238 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
239 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
240 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
241 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
242 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
243 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
244 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
245 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
246 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
247 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
248 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
249 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
250 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
251 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
252 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
253 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
254 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
255 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
256 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
257 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
258 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
259 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
260 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
261 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
262 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
263 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
264 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
265 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
266 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
267 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
268 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
269 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
270 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
271 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
272 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
273 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
274 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
275 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
276 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
277 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
278 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
279 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
280 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
281 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
282 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
283 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
284 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
285 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
286 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
287 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
288 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
289 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
290 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
291 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
292 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
293 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
294 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
295 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
296 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
297 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
298 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
299 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
300 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
301 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
302 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
303 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
304 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
305 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
306 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
307 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
308 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
309 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
310 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
311 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
312 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
313 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
314 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
315 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
316 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
317 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
318 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
319 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
320 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
321 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
322 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
323 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
324 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
325 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
326 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
327 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
328 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
329 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
330 By 2030, achieve universal and equitable access to safe and affordable drinking water for all
indicator_code.y indicator_reference.y
1 C060101 6.1.1
2 C060101 6.1.1
3 C060101 6.1.1
4 C060101 6.1.1
5 C060101 6.1.1
6 C060101 6.1.1
7 C060101 6.1.1
8 C060101 6.1.1
9 C060101 6.1.1
10 C060101 6.1.1
11 C060101 6.1.1
12 C060101 6.1.1
13 C060101 6.1.1
14 C060101 6.1.1
15 C060101 6.1.1
16 C060101 6.1.1
17 C060101 6.1.1
18 C060101 6.1.1
19 C060101 6.1.1
20 C060101 6.1.1
21 C060101 6.1.1
22 C060101 6.1.1
23 C060101 6.1.1
24 C060101 6.1.1
25 C060101 6.1.1
26 C060101 6.1.1
27 C060101 6.1.1
28 C060101 6.1.1
29 C060101 6.1.1
30 C060101 6.1.1
31 C060101 6.1.1
32 C060101 6.1.1
33 C060101 6.1.1
34 C060101 6.1.1
35 C060101 6.1.1
36 C060101 6.1.1
37 C060101 6.1.1
38 C060101 6.1.1
41 C060101 6.1.1
42 C060101 6.1.1
43 C060101 6.1.1
44 C060101 6.1.1
45 C060101 6.1.1
46 C060101 6.1.1
47 C060101 6.1.1
48 C060101 6.1.1
49 C060101 6.1.1
50 C060101 6.1.1
51 C060101 6.1.1
52 C060101 6.1.1
53 C060101 6.1.1
54 C060101 6.1.1
55 C060101 6.1.1
56 C060101 6.1.1
57 C060101 6.1.1
58 C060101 6.1.1
59 C060101 6.1.1
60 C060101 6.1.1
61 C060101 6.1.1
62 C060101 6.1.1
63 C060101 6.1.1
64 C060101 6.1.1
65 C060101 6.1.1
66 C060101 6.1.1
67 C060101 6.1.1
68 C060101 6.1.1
69 C060101 6.1.1
70 C060101 6.1.1
71 C060101 6.1.1
72 C060101 6.1.1
73 C060101 6.1.1
74 C060101 6.1.1
75 C060101 6.1.1
76 C060101 6.1.1
78 C060101 6.1.1
79 C060101 6.1.1
80 C060101 6.1.1
81 C060101 6.1.1
82 C060101 6.1.1
83 C060101 6.1.1
84 C060101 6.1.1
85 C060101 6.1.1
86 C060101 6.1.1
87 C060101 6.1.1
88 C060101 6.1.1
89 C060101 6.1.1
90 C060101 6.1.1
91 C060101 6.1.1
92 C060101 6.1.1
93 C060101 6.1.1
94 C060101 6.1.1
95 C060101 6.1.1
96 C060101 6.1.1
97 C060101 6.1.1
98 C060101 6.1.1
99 C060101 6.1.1
100 C060101 6.1.1
101 C060101 6.1.1
102 C060101 6.1.1
103 C060101 6.1.1
104 C060101 6.1.1
105 C060101 6.1.1
106 C060101 6.1.1
107 C060101 6.1.1
108 C060101 6.1.1
109 C060101 6.1.1
110 C060101 6.1.1
111 C060101 6.1.1
112 C060101 6.1.1
113 C060101 6.1.1
114 C060101 6.1.1
115 C060101 6.1.1
116 C060101 6.1.1
117 C060101 6.1.1
118 C060101 6.1.1
119 C060101 6.1.1
120 C060101 6.1.1
121 C060101 6.1.1
122 C060101 6.1.1
123 C060101 6.1.1
124 C060101 6.1.1
125 C060101 6.1.1
126 C060101 6.1.1
127 C060101 6.1.1
128 C060101 6.1.1
129 C060101 6.1.1
130 C060101 6.1.1
131 C060101 6.1.1
132 C060101 6.1.1
133 C060101 6.1.1
134 C060101 6.1.1
135 C060101 6.1.1
136 C060101 6.1.1
137 C060101 6.1.1
138 C060101 6.1.1
139 C060101 6.1.1
140 C060101 6.1.1
141 C060101 6.1.1
142 C060101 6.1.1
143 C060101 6.1.1
144 C060101 6.1.1
145 C060101 6.1.1
146 C060101 6.1.1
147 C060101 6.1.1
148 C060101 6.1.1
149 C060101 6.1.1
150 C060101 6.1.1
151 C060101 6.1.1
152 C060101 6.1.1
153 C060101 6.1.1
154 C060101 6.1.1
155 C060101 6.1.1
156 C060101 6.1.1
157 C060101 6.1.1
158 C060101 6.1.1
159 C060101 6.1.1
160 C060101 6.1.1
161 C060101 6.1.1
162 C060101 6.1.1
163 C060101 6.1.1
164 C060101 6.1.1
165 C060101 6.1.1
166 C060101 6.1.1
167 C060101 6.1.1
168 C060101 6.1.1
169 C060101 6.1.1
170 C060101 6.1.1
171 C060101 6.1.1
172 C060101 6.1.1
173 C060101 6.1.1
174 C060101 6.1.1
175 C060101 6.1.1
176 C060101 6.1.1
177 C060101 6.1.1
178 C060101 6.1.1
179 C060101 6.1.1
180 C060101 6.1.1
181 C060101 6.1.1
182 C060101 6.1.1
183 C060101 6.1.1
184 C060101 6.1.1
185 C060101 6.1.1
186 C060101 6.1.1
187 C060101 6.1.1
188 C060101 6.1.1
189 C060101 6.1.1
190 C060101 6.1.1
191 C060101 6.1.1
192 C060101 6.1.1
193 C060101 6.1.1
194 C060101 6.1.1
195 C060101 6.1.1
196 C060101 6.1.1
197 C060101 6.1.1
198 C060101 6.1.1
199 C060101 6.1.1
200 C060101 6.1.1
201 C060101 6.1.1
202 C060101 6.1.1
203 C060101 6.1.1
204 C060101 6.1.1
205 C060101 6.1.1
206 C060101 6.1.1
207 C060101 6.1.1
208 C060101 6.1.1
209 C060101 6.1.1
210 C060101 6.1.1
211 C060101 6.1.1
212 C060101 6.1.1
213 C060101 6.1.1
214 C060101 6.1.1
215 C060101 6.1.1
216 C060101 6.1.1
217 C060101 6.1.1
218 C060101 6.1.1
219 C060101 6.1.1
220 C060101 6.1.1
221 C060101 6.1.1
222 C060101 6.1.1
223 C060101 6.1.1
224 C060101 6.1.1
225 C060101 6.1.1
226 C060101 6.1.1
227 C060101 6.1.1
228 C060101 6.1.1
229 C060101 6.1.1
230 C060101 6.1.1
231 C060101 6.1.1
232 C060101 6.1.1
233 C060101 6.1.1
234 C060101 6.1.1
235 C060101 6.1.1
236 C060101 6.1.1
237 C060101 6.1.1
238 C060101 6.1.1
239 C060101 6.1.1
240 C060101 6.1.1
241 C060101 6.1.1
242 C060101 6.1.1
243 C060101 6.1.1
244 C060101 6.1.1
245 C060101 6.1.1
246 C060101 6.1.1
247 C060101 6.1.1
248 C060101 6.1.1
249 C060101 6.1.1
250 C060101 6.1.1
251 C060101 6.1.1
252 C060101 6.1.1
253 C060101 6.1.1
254 C060101 6.1.1
255 C060101 6.1.1
256 C060101 6.1.1
257 C060101 6.1.1
258 C060101 6.1.1
259 C060101 6.1.1
260 C060101 6.1.1
261 C060101 6.1.1
262 C060101 6.1.1
263 C060101 6.1.1
264 C060101 6.1.1
265 C060101 6.1.1
266 C060101 6.1.1
267 C060101 6.1.1
268 C060101 6.1.1
269 C060101 6.1.1
270 C060101 6.1.1
271 C060101 6.1.1
272 C060101 6.1.1
273 C060101 6.1.1
274 C060101 6.1.1
275 C060101 6.1.1
276 C060101 6.1.1
277 C060101 6.1.1
278 C060101 6.1.1
279 C060101 6.1.1
280 C060101 6.1.1
281 C060101 6.1.1
282 C060101 6.1.1
283 C060101 6.1.1
284 C060101 6.1.1
285 C060101 6.1.1
286 C060101 6.1.1
287 C060101 6.1.1
288 C060101 6.1.1
289 C060101 6.1.1
290 C060101 6.1.1
291 C060101 6.1.1
292 C060101 6.1.1
293 C060101 6.1.1
294 C060101 6.1.1
295 C060101 6.1.1
296 C060101 6.1.1
297 C060101 6.1.1
298 C060101 6.1.1
299 C060101 6.1.1
300 C060101 6.1.1
301 C060101 6.1.1
302 C060101 6.1.1
303 C060101 6.1.1
304 C060101 6.1.1
305 C060101 6.1.1
306 C060101 6.1.1
307 C060101 6.1.1
308 C060101 6.1.1
309 C060101 6.1.1
310 C060101 6.1.1
311 C060101 6.1.1
312 C060101 6.1.1
313 C060101 6.1.1
314 C060101 6.1.1
315 C060101 6.1.1
316 C060101 6.1.1
317 C060101 6.1.1
318 C060101 6.1.1
319 C060101 6.1.1
320 C060101 6.1.1
321 C060101 6.1.1
322 C060101 6.1.1
323 C060101 6.1.1
324 C060101 6.1.1
325 C060101 6.1.1
326 C060101 6.1.1
327 C060101 6.1.1
328 C060101 6.1.1
329 C060101 6.1.1
330 C060101 6.1.1
indicator_descEN.y
1 Proportion of population using safely managed drinking water services
2 Proportion of population using safely managed drinking water services
3 Proportion of population using safely managed drinking water services
4 Proportion of population using safely managed drinking water services
5 Proportion of population using safely managed drinking water services
6 Proportion of population using safely managed drinking water services
7 Proportion of population using safely managed drinking water services
8 Proportion of population using safely managed drinking water services
9 Proportion of population using safely managed drinking water services
10 Proportion of population using safely managed drinking water services
11 Proportion of population using safely managed drinking water services
12 Proportion of population using safely managed drinking water services
13 Proportion of population using safely managed drinking water services
14 Proportion of population using safely managed drinking water services
15 Proportion of population using safely managed drinking water services
16 Proportion of population using safely managed drinking water services
17 Proportion of population using safely managed drinking water services
18 Proportion of population using safely managed drinking water services
19 Proportion of population using safely managed drinking water services
20 Proportion of population using safely managed drinking water services
21 Proportion of population using safely managed drinking water services
22 Proportion of population using safely managed drinking water services
23 Proportion of population using safely managed drinking water services
24 Proportion of population using safely managed drinking water services
25 Proportion of population using safely managed drinking water services
26 Proportion of population using safely managed drinking water services
27 Proportion of population using safely managed drinking water services
28 Proportion of population using safely managed drinking water services
29 Proportion of population using safely managed drinking water services
30 Proportion of population using safely managed drinking water services
31 Proportion of population using safely managed drinking water services
32 Proportion of population using safely managed drinking water services
33 Proportion of population using safely managed drinking water services
34 Proportion of population using safely managed drinking water services
35 Proportion of population using safely managed drinking water services
36 Proportion of population using safely managed drinking water services
37 Proportion of population using safely managed drinking water services
38 Proportion of population using safely managed drinking water services
41 Proportion of population using safely managed drinking water services
42 Proportion of population using safely managed drinking water services
43 Proportion of population using safely managed drinking water services
44 Proportion of population using safely managed drinking water services
45 Proportion of population using safely managed drinking water services
46 Proportion of population using safely managed drinking water services
47 Proportion of population using safely managed drinking water services
48 Proportion of population using safely managed drinking water services
49 Proportion of population using safely managed drinking water services
50 Proportion of population using safely managed drinking water services
51 Proportion of population using safely managed drinking water services
52 Proportion of population using safely managed drinking water services
53 Proportion of population using safely managed drinking water services
54 Proportion of population using safely managed drinking water services
55 Proportion of population using safely managed drinking water services
56 Proportion of population using safely managed drinking water services
57 Proportion of population using safely managed drinking water services
58 Proportion of population using safely managed drinking water services
59 Proportion of population using safely managed drinking water services
60 Proportion of population using safely managed drinking water services
61 Proportion of population using safely managed drinking water services
62 Proportion of population using safely managed drinking water services
63 Proportion of population using safely managed drinking water services
64 Proportion of population using safely managed drinking water services
65 Proportion of population using safely managed drinking water services
66 Proportion of population using safely managed drinking water services
67 Proportion of population using safely managed drinking water services
68 Proportion of population using safely managed drinking water services
69 Proportion of population using safely managed drinking water services
70 Proportion of population using safely managed drinking water services
71 Proportion of population using safely managed drinking water services
72 Proportion of population using safely managed drinking water services
73 Proportion of population using safely managed drinking water services
74 Proportion of population using safely managed drinking water services
75 Proportion of population using safely managed drinking water services
76 Proportion of population using safely managed drinking water services
78 Proportion of population using safely managed drinking water services
79 Proportion of population using safely managed drinking water services
80 Proportion of population using safely managed drinking water services
81 Proportion of population using safely managed drinking water services
82 Proportion of population using safely managed drinking water services
83 Proportion of population using safely managed drinking water services
84 Proportion of population using safely managed drinking water services
85 Proportion of population using safely managed drinking water services
86 Proportion of population using safely managed drinking water services
87 Proportion of population using safely managed drinking water services
88 Proportion of population using safely managed drinking water services
89 Proportion of population using safely managed drinking water services
90 Proportion of population using safely managed drinking water services
91 Proportion of population using safely managed drinking water services
92 Proportion of population using safely managed drinking water services
93 Proportion of population using safely managed drinking water services
94 Proportion of population using safely managed drinking water services
95 Proportion of population using safely managed drinking water services
96 Proportion of population using safely managed drinking water services
97 Proportion of population using safely managed drinking water services
98 Proportion of population using safely managed drinking water services
99 Proportion of population using safely managed drinking water services
100 Proportion of population using safely managed drinking water services
101 Proportion of population using safely managed drinking water services
102 Proportion of population using safely managed drinking water services
103 Proportion of population using safely managed drinking water services
104 Proportion of population using safely managed drinking water services
105 Proportion of population using safely managed drinking water services
106 Proportion of population using safely managed drinking water services
107 Proportion of population using safely managed drinking water services
108 Proportion of population using safely managed drinking water services
109 Proportion of population using safely managed drinking water services
110 Proportion of population using safely managed drinking water services
111 Proportion of population using safely managed drinking water services
112 Proportion of population using safely managed drinking water services
113 Proportion of population using safely managed drinking water services
114 Proportion of population using safely managed drinking water services
115 Proportion of population using safely managed drinking water services
116 Proportion of population using safely managed drinking water services
117 Proportion of population using safely managed drinking water services
118 Proportion of population using safely managed drinking water services
119 Proportion of population using safely managed drinking water services
120 Proportion of population using safely managed drinking water services
121 Proportion of population using safely managed drinking water services
122 Proportion of population using safely managed drinking water services
123 Proportion of population using safely managed drinking water services
124 Proportion of population using safely managed drinking water services
125 Proportion of population using safely managed drinking water services
126 Proportion of population using safely managed drinking water services
127 Proportion of population using safely managed drinking water services
128 Proportion of population using safely managed drinking water services
129 Proportion of population using safely managed drinking water services
130 Proportion of population using safely managed drinking water services
131 Proportion of population using safely managed drinking water services
132 Proportion of population using safely managed drinking water services
133 Proportion of population using safely managed drinking water services
134 Proportion of population using safely managed drinking water services
135 Proportion of population using safely managed drinking water services
136 Proportion of population using safely managed drinking water services
137 Proportion of population using safely managed drinking water services
138 Proportion of population using safely managed drinking water services
139 Proportion of population using safely managed drinking water services
140 Proportion of population using safely managed drinking water services
141 Proportion of population using safely managed drinking water services
142 Proportion of population using safely managed drinking water services
143 Proportion of population using safely managed drinking water services
144 Proportion of population using safely managed drinking water services
145 Proportion of population using safely managed drinking water services
146 Proportion of population using safely managed drinking water services
147 Proportion of population using safely managed drinking water services
148 Proportion of population using safely managed drinking water services
149 Proportion of population using safely managed drinking water services
150 Proportion of population using safely managed drinking water services
151 Proportion of population using safely managed drinking water services
152 Proportion of population using safely managed drinking water services
153 Proportion of population using safely managed drinking water services
154 Proportion of population using safely managed drinking water services
155 Proportion of population using safely managed drinking water services
156 Proportion of population using safely managed drinking water services
157 Proportion of population using safely managed drinking water services
158 Proportion of population using safely managed drinking water services
159 Proportion of population using safely managed drinking water services
160 Proportion of population using safely managed drinking water services
161 Proportion of population using safely managed drinking water services
162 Proportion of population using safely managed drinking water services
163 Proportion of population using safely managed drinking water services
164 Proportion of population using safely managed drinking water services
165 Proportion of population using safely managed drinking water services
166 Proportion of population using safely managed drinking water services
167 Proportion of population using safely managed drinking water services
168 Proportion of population using safely managed drinking water services
169 Proportion of population using safely managed drinking water services
170 Proportion of population using safely managed drinking water services
171 Proportion of population using safely managed drinking water services
172 Proportion of population using safely managed drinking water services
173 Proportion of population using safely managed drinking water services
174 Proportion of population using safely managed drinking water services
175 Proportion of population using safely managed drinking water services
176 Proportion of population using safely managed drinking water services
177 Proportion of population using safely managed drinking water services
178 Proportion of population using safely managed drinking water services
179 Proportion of population using safely managed drinking water services
180 Proportion of population using safely managed drinking water services
181 Proportion of population using safely managed drinking water services
182 Proportion of population using safely managed drinking water services
183 Proportion of population using safely managed drinking water services
184 Proportion of population using safely managed drinking water services
185 Proportion of population using safely managed drinking water services
186 Proportion of population using safely managed drinking water services
187 Proportion of population using safely managed drinking water services
188 Proportion of population using safely managed drinking water services
189 Proportion of population using safely managed drinking water services
190 Proportion of population using safely managed drinking water services
191 Proportion of population using safely managed drinking water services
192 Proportion of population using safely managed drinking water services
193 Proportion of population using safely managed drinking water services
194 Proportion of population using safely managed drinking water services
195 Proportion of population using safely managed drinking water services
196 Proportion of population using safely managed drinking water services
197 Proportion of population using safely managed drinking water services
198 Proportion of population using safely managed drinking water services
199 Proportion of population using safely managed drinking water services
200 Proportion of population using safely managed drinking water services
201 Proportion of population using safely managed drinking water services
202 Proportion of population using safely managed drinking water services
203 Proportion of population using safely managed drinking water services
204 Proportion of population using safely managed drinking water services
205 Proportion of population using safely managed drinking water services
206 Proportion of population using safely managed drinking water services
207 Proportion of population using safely managed drinking water services
208 Proportion of population using safely managed drinking water services
209 Proportion of population using safely managed drinking water services
210 Proportion of population using safely managed drinking water services
211 Proportion of population using safely managed drinking water services
212 Proportion of population using safely managed drinking water services
213 Proportion of population using safely managed drinking water services
214 Proportion of population using safely managed drinking water services
215 Proportion of population using safely managed drinking water services
216 Proportion of population using safely managed drinking water services
217 Proportion of population using safely managed drinking water services
218 Proportion of population using safely managed drinking water services
219 Proportion of population using safely managed drinking water services
220 Proportion of population using safely managed drinking water services
221 Proportion of population using safely managed drinking water services
222 Proportion of population using safely managed drinking water services
223 Proportion of population using safely managed drinking water services
224 Proportion of population using safely managed drinking water services
225 Proportion of population using safely managed drinking water services
226 Proportion of population using safely managed drinking water services
227 Proportion of population using safely managed drinking water services
228 Proportion of population using safely managed drinking water services
229 Proportion of population using safely managed drinking water services
230 Proportion of population using safely managed drinking water services
231 Proportion of population using safely managed drinking water services
232 Proportion of population using safely managed drinking water services
233 Proportion of population using safely managed drinking water services
234 Proportion of population using safely managed drinking water services
235 Proportion of population using safely managed drinking water services
236 Proportion of population using safely managed drinking water services
237 Proportion of population using safely managed drinking water services
238 Proportion of population using safely managed drinking water services
239 Proportion of population using safely managed drinking water services
240 Proportion of population using safely managed drinking water services
241 Proportion of population using safely managed drinking water services
242 Proportion of population using safely managed drinking water services
243 Proportion of population using safely managed drinking water services
244 Proportion of population using safely managed drinking water services
245 Proportion of population using safely managed drinking water services
246 Proportion of population using safely managed drinking water services
247 Proportion of population using safely managed drinking water services
248 Proportion of population using safely managed drinking water services
249 Proportion of population using safely managed drinking water services
250 Proportion of population using safely managed drinking water services
251 Proportion of population using safely managed drinking water services
252 Proportion of population using safely managed drinking water services
253 Proportion of population using safely managed drinking water services
254 Proportion of population using safely managed drinking water services
255 Proportion of population using safely managed drinking water services
256 Proportion of population using safely managed drinking water services
257 Proportion of population using safely managed drinking water services
258 Proportion of population using safely managed drinking water services
259 Proportion of population using safely managed drinking water services
260 Proportion of population using safely managed drinking water services
261 Proportion of population using safely managed drinking water services
262 Proportion of population using safely managed drinking water services
263 Proportion of population using safely managed drinking water services
264 Proportion of population using safely managed drinking water services
265 Proportion of population using safely managed drinking water services
266 Proportion of population using safely managed drinking water services
267 Proportion of population using safely managed drinking water services
268 Proportion of population using safely managed drinking water services
269 Proportion of population using safely managed drinking water services
270 Proportion of population using safely managed drinking water services
271 Proportion of population using safely managed drinking water services
272 Proportion of population using safely managed drinking water services
273 Proportion of population using safely managed drinking water services
274 Proportion of population using safely managed drinking water services
275 Proportion of population using safely managed drinking water services
276 Proportion of population using safely managed drinking water services
277 Proportion of population using safely managed drinking water services
278 Proportion of population using safely managed drinking water services
279 Proportion of population using safely managed drinking water services
280 Proportion of population using safely managed drinking water services
281 Proportion of population using safely managed drinking water services
282 Proportion of population using safely managed drinking water services
283 Proportion of population using safely managed drinking water services
284 Proportion of population using safely managed drinking water services
285 Proportion of population using safely managed drinking water services
286 Proportion of population using safely managed drinking water services
287 Proportion of population using safely managed drinking water services
288 Proportion of population using safely managed drinking water services
289 Proportion of population using safely managed drinking water services
290 Proportion of population using safely managed drinking water services
291 Proportion of population using safely managed drinking water services
292 Proportion of population using safely managed drinking water services
293 Proportion of population using safely managed drinking water services
294 Proportion of population using safely managed drinking water services
295 Proportion of population using safely managed drinking water services
296 Proportion of population using safely managed drinking water services
297 Proportion of population using safely managed drinking water services
298 Proportion of population using safely managed drinking water services
299 Proportion of population using safely managed drinking water services
300 Proportion of population using safely managed drinking water services
301 Proportion of population using safely managed drinking water services
302 Proportion of population using safely managed drinking water services
303 Proportion of population using safely managed drinking water services
304 Proportion of population using safely managed drinking water services
305 Proportion of population using safely managed drinking water services
306 Proportion of population using safely managed drinking water services
307 Proportion of population using safely managed drinking water services
308 Proportion of population using safely managed drinking water services
309 Proportion of population using safely managed drinking water services
310 Proportion of population using safely managed drinking water services
311 Proportion of population using safely managed drinking water services
312 Proportion of population using safely managed drinking water services
313 Proportion of population using safely managed drinking water services
314 Proportion of population using safely managed drinking water services
315 Proportion of population using safely managed drinking water services
316 Proportion of population using safely managed drinking water services
317 Proportion of population using safely managed drinking water services
318 Proportion of population using safely managed drinking water services
319 Proportion of population using safely managed drinking water services
320 Proportion of population using safely managed drinking water services
321 Proportion of population using safely managed drinking water services
322 Proportion of population using safely managed drinking water services
323 Proportion of population using safely managed drinking water services
324 Proportion of population using safely managed drinking water services
325 Proportion of population using safely managed drinking water services
326 Proportion of population using safely managed drinking water services
327 Proportion of population using safely managed drinking water services
328 Proportion of population using safely managed drinking water services
329 Proportion of population using safely managed drinking water services
330 Proportion of population using safely managed drinking water services
series_release.y series_tags.y series.y
1 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
2 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
3 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
4 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
5 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
6 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
7 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
8 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
9 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
10 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
11 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
12 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
13 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
14 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
15 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
16 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
17 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
18 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
19 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
20 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
21 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
22 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
23 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
24 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
25 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
26 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
27 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
28 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
29 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
30 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
31 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
32 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
33 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
34 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
35 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
36 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
37 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
38 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
41 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
42 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
43 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
44 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
45 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
46 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
47 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
48 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
49 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
50 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
51 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
52 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
53 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
54 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
55 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
56 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
57 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
58 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
59 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
60 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
61 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
62 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
63 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
64 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
65 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
66 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
67 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
68 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
69 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
70 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
71 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
72 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
73 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
74 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
75 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
76 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
78 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
79 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
80 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
81 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
82 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
83 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
84 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
85 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
86 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
87 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
88 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
89 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
90 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
91 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
92 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
93 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
94 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
95 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
96 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
97 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
98 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
99 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
100 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
101 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
102 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
103 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
104 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
105 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
106 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
107 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
108 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
109 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
110 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
111 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
112 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
113 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
114 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
115 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
116 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
117 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
118 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
119 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
120 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
121 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
122 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
123 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
124 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
125 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
126 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
127 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
128 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
129 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
130 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
131 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
132 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
133 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
134 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
135 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
136 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
137 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
138 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
139 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
140 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
141 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
142 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
143 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
144 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
145 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
146 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
147 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
148 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
149 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
150 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
151 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
152 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
153 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
154 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
155 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
156 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
157 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
158 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
159 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
160 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
161 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
162 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
163 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
164 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
165 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
166 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
167 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
168 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
169 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
170 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
171 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
172 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
173 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
174 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
175 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
176 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
177 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
178 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
179 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
180 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
181 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
182 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
183 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
184 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
185 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
186 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
187 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
188 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
189 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
190 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
191 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
192 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
193 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
194 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
195 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
196 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
197 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
198 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
199 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
200 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
201 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
202 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
203 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
204 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
205 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
206 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
207 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
208 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
209 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
210 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
211 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
212 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
213 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
214 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
215 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
216 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
217 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
218 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
219 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
220 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
221 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
222 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
223 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
224 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
225 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
226 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
227 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
228 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
229 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
230 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
231 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
232 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
233 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
234 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
235 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
236 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
237 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
238 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
239 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
240 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
241 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
242 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
243 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
244 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
245 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
246 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
247 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
248 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
249 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
250 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
251 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
252 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
253 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
254 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
255 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
256 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
257 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
258 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
259 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
260 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
261 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
262 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
263 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
264 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
265 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
266 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
267 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
268 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
269 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
270 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
271 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
272 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
273 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
274 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
275 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
276 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
277 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
278 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
279 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
280 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
281 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
282 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
283 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
284 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
285 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
286 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
287 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
288 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
289 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
290 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
291 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
292 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
293 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
294 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
295 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
296 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
297 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
298 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
299 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
300 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
301 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
302 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
303 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
304 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
305 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
306 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
307 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
308 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
309 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
310 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
311 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
312 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
313 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
314 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
315 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
316 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
317 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
318 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
319 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
320 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
321 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
322 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
323 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
324 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
325 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
326 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
327 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
328 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
329 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
330 2021.Q2.G.03 ['water', 'drinking water'] SH_H2O_SAFE
seriesDescription.y
1 Proportion of population using safely managed drinking water services, by urban/rural (%)
2 Proportion of population using safely managed drinking water services, by urban/rural (%)
3 Proportion of population using safely managed drinking water services, by urban/rural (%)
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240 Proportion of population using safely managed drinking water services, by urban/rural (%)
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260 Proportion of population using safely managed drinking water services, by urban/rural (%)
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265 Proportion of population using safely managed drinking water services, by urban/rural (%)
266 Proportion of population using safely managed drinking water services, by urban/rural (%)
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280 Proportion of population using safely managed drinking water services, by urban/rural (%)
281 Proportion of population using safely managed drinking water services, by urban/rural (%)
282 Proportion of population using safely managed drinking water services, by urban/rural (%)
283 Proportion of population using safely managed drinking water services, by urban/rural (%)
284 Proportion of population using safely managed drinking water services, by urban/rural (%)
285 Proportion of population using safely managed drinking water services, by urban/rural (%)
286 Proportion of population using safely managed drinking water services, by urban/rural (%)
287 Proportion of population using safely managed drinking water services, by urban/rural (%)
288 Proportion of population using safely managed drinking water services, by urban/rural (%)
289 Proportion of population using safely managed drinking water services, by urban/rural (%)
290 Proportion of population using safely managed drinking water services, by urban/rural (%)
291 Proportion of population using safely managed drinking water services, by urban/rural (%)
292 Proportion of population using safely managed drinking water services, by urban/rural (%)
293 Proportion of population using safely managed drinking water services, by urban/rural (%)
294 Proportion of population using safely managed drinking water services, by urban/rural (%)
295 Proportion of population using safely managed drinking water services, by urban/rural (%)
296 Proportion of population using safely managed drinking water services, by urban/rural (%)
297 Proportion of population using safely managed drinking water services, by urban/rural (%)
298 Proportion of population using safely managed drinking water services, by urban/rural (%)
299 Proportion of population using safely managed drinking water services, by urban/rural (%)
300 Proportion of population using safely managed drinking water services, by urban/rural (%)
301 Proportion of population using safely managed drinking water services, by urban/rural (%)
302 Proportion of population using safely managed drinking water services, by urban/rural (%)
303 Proportion of population using safely managed drinking water services, by urban/rural (%)
304 Proportion of population using safely managed drinking water services, by urban/rural (%)
305 Proportion of population using safely managed drinking water services, by urban/rural (%)
306 Proportion of population using safely managed drinking water services, by urban/rural (%)
307 Proportion of population using safely managed drinking water services, by urban/rural (%)
308 Proportion of population using safely managed drinking water services, by urban/rural (%)
309 Proportion of population using safely managed drinking water services, by urban/rural (%)
310 Proportion of population using safely managed drinking water services, by urban/rural (%)
311 Proportion of population using safely managed drinking water services, by urban/rural (%)
312 Proportion of population using safely managed drinking water services, by urban/rural (%)
313 Proportion of population using safely managed drinking water services, by urban/rural (%)
314 Proportion of population using safely managed drinking water services, by urban/rural (%)
315 Proportion of population using safely managed drinking water services, by urban/rural (%)
316 Proportion of population using safely managed drinking water services, by urban/rural (%)
317 Proportion of population using safely managed drinking water services, by urban/rural (%)
318 Proportion of population using safely managed drinking water services, by urban/rural (%)
319 Proportion of population using safely managed drinking water services, by urban/rural (%)
320 Proportion of population using safely managed drinking water services, by urban/rural (%)
321 Proportion of population using safely managed drinking water services, by urban/rural (%)
322 Proportion of population using safely managed drinking water services, by urban/rural (%)
323 Proportion of population using safely managed drinking water services, by urban/rural (%)
324 Proportion of population using safely managed drinking water services, by urban/rural (%)
325 Proportion of population using safely managed drinking water services, by urban/rural (%)
326 Proportion of population using safely managed drinking water services, by urban/rural (%)
327 Proportion of population using safely managed drinking water services, by urban/rural (%)
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330 Proportion of population using safely managed drinking water services, by urban/rural (%)
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2 4 35 South-Eastern Asia Country
3 4 35 South-Eastern Asia Country
4 4 35 South-Eastern Asia Country
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8 4 35 South-Eastern Asia Country
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15 4 17 Middle Africa Country
16 5 127 Southern Asia (excluding India) Country
17 5 127 Southern Asia (excluding India) Country
18 5 127 Southern Asia (excluding India) Country
19 5 127 Southern Asia (excluding India) Country
20 4 17 Middle Africa Country
21 4 17 Middle Africa Country
22 4 17 Middle Africa Country
23 4 5 South America Country
24 4 5 South America Country
25 4 30 Eastern Asia Country
26 4 5 South America Country
27 4 5 South America Country
28 4 5 South America Country
29 4 17 Middle Africa Country
30 4 17 Middle Africa Country
31 4 17 Middle Africa Country
32 4 17 Middle Africa Country
33 4 17 Middle Africa Country
34 4 17 Middle Africa Country
35 4 13 Central America Country
36 4 13 Central America Country
37 4 13 Central America Country
38 5 39 Southern Europe Country
41 4 145 Western Asia Country
42 5 154 Northern Europe Country
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44 4 5 South America Country
45 4 5 South America Country
46 4 13 Central America Country
47 4 14 Eastern Africa Country
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49 4 14 Eastern Africa Country
50 5 154 Northern Europe Country
51 5 154 Northern Europe Country
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53 5 155 Western Europe Country
54 4 145 Western Asia Country
55 4 145 Western Asia Country
56 4 145 Western Asia Country
57 4 11 Western Africa Country
58 4 11 Western Africa Country
59 4 11 Western Africa Country
60 5 155 Western Europe Country
61 4 11 Western Africa Country
62 4 11 Western Africa Country
63 4 11 Western Africa Country
64 4 543 Oceania (exc. Australia and New Zealand) Country
65 4 543 Oceania (exc. Australia and New Zealand) Country
66 4 543 Oceania (exc. Australia and New Zealand) Country
67 4 543 Oceania (exc. Australia and New Zealand) Country
68 4 543 Oceania (exc. Australia and New Zealand) Country
69 4 543 Oceania (exc. Australia and New Zealand) Country
70 4 543 Oceania (exc. Australia and New Zealand) Country
71 4 543 Oceania (exc. Australia and New Zealand) Country
72 4 543 Oceania (exc. Australia and New Zealand) Country
73 4 543 Oceania (exc. Australia and New Zealand) Country
74 4 543 Oceania (exc. Australia and New Zealand) Country
75 4 543 Oceania (exc. Australia and New Zealand) Country
76 5 39 Southern Europe Country
78 4 145 Western Asia Country
79 4 145 Western Asia Country
80 4 145 Western Asia Country
81 4 13 Central America Country
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85 5 151 Eastern Europe Country
86 5 151 Eastern Europe Country
87 5 151 Eastern Europe Country
88 5 154 Northern Europe Country
89 4 34 Southern Asia Country
90 4 53 Australia and New Zealand Country
91 5 127 Southern Asia (excluding India) Country
92 5 127 Southern Asia (excluding India) Country
93 5 127 Southern Asia (excluding India) Country
94 5 127 Southern Asia (excluding India) Country
95 5 127 Southern Asia (excluding India) Country
96 5 127 Southern Asia (excluding India) Country
97 5 127 Southern Asia (excluding India) Country
98 5 127 Southern Asia (excluding India) Country
99 5 127 Southern Asia (excluding India) Country
100 5 127 Southern Asia (excluding India) Country
101 5 127 Southern Asia (excluding India) Country
102 5 127 Southern Asia (excluding India) Country
103 4 145 Western Asia Country
104 4 145 Western Asia Country
105 4 145 Western Asia Country
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316 21.7007909 41.6004807 MKD 1 1 R
317 21.7007909 41.6004807 MKD 1 1 _T
318 21.7007909 41.6004807 MKD 1 1 U
319 -2.2383054 53.2769176 GBR 1 1 _T
320 -99.1383031 39.5277871 USA 1 1 _T
321 -99.1383031 39.5277871 USA 1 1 U
322 -56.0138702 -32.8002838 URY 1 1 U
323 63.1194456 41.7756052 UZB 1 1 U
324 63.1194456 41.7756052 UZB 1 1 R
325 63.1194456 41.7756052 UZB 1 1 _T
326 -172.4430749 -13.6154147 WSM 1 1 _T
327 -172.4430749 -13.6154147 WSM 1 1 _T
328 -172.4430749 -13.6154147 WSM 1 1 _T
329 -172.4430749 -13.6154147 WSM 1 1 _T
330 27.8503290 -14.5970106 ZMB 1 1 U
location_desc UnitMultiplier.y Units_code.y Units_desc.y timeSeries_id.y
1 All areas NA PT Percentage SH_H2O_SAFE___T
2 Urban NA PT Percentage SH_H2O_SAFE__U
3 Rural NA PT Percentage SH_H2O_SAFE__R
4 All areas NA PT Percentage SH_H2O_SAFE___T
5 All areas NA PT Percentage SH_H2O_SAFE___T
6 All areas NA PT Percentage SH_H2O_SAFE___T
7 Urban NA PT Percentage SH_H2O_SAFE__U
8 Rural NA PT Percentage SH_H2O_SAFE__R
9 All areas NA PT Percentage SH_H2O_SAFE___T
10 Rural NA PT Percentage SH_H2O_SAFE__R
11 Urban NA PT Percentage SH_H2O_SAFE__U
12 All areas NA PT Percentage SH_H2O_SAFE___T
13 All areas NA PT Percentage SH_H2O_SAFE___T
14 Rural NA PT Percentage SH_H2O_SAFE__R
15 Urban NA PT Percentage SH_H2O_SAFE__U
16 Urban NA PT Percentage SH_H2O_SAFE__U
17 Urban NA PT Percentage SH_H2O_SAFE__U
18 Urban NA PT Percentage SH_H2O_SAFE__U
19 Urban NA PT Percentage SH_H2O_SAFE__U
20 Urban NA PT Percentage SH_H2O_SAFE__U
21 All areas NA PT Percentage SH_H2O_SAFE___T
22 Rural NA PT Percentage SH_H2O_SAFE__R
23 All areas NA PT Percentage SH_H2O_SAFE___T
24 Urban NA PT Percentage SH_H2O_SAFE__U
25 Urban NA PT Percentage SH_H2O_SAFE__U
26 Rural NA PT Percentage SH_H2O_SAFE__R
27 All areas NA PT Percentage SH_H2O_SAFE___T
28 Urban NA PT Percentage SH_H2O_SAFE__U
29 Urban NA PT Percentage SH_H2O_SAFE__U
30 Rural NA PT Percentage SH_H2O_SAFE__R
31 All areas NA PT Percentage SH_H2O_SAFE___T
32 Urban NA PT Percentage SH_H2O_SAFE__U
33 Rural NA PT Percentage SH_H2O_SAFE__R
34 All areas NA PT Percentage SH_H2O_SAFE___T
35 Urban NA PT Percentage SH_H2O_SAFE__U
36 Rural NA PT Percentage SH_H2O_SAFE__R
37 All areas NA PT Percentage SH_H2O_SAFE___T
38 Urban NA PT Percentage SH_H2O_SAFE__U
41 All areas NA PT Percentage SH_H2O_SAFE___T
42 All areas NA PT Percentage SH_H2O_SAFE___T
43 Urban NA PT Percentage SH_H2O_SAFE__U
44 All areas NA PT Percentage SH_H2O_SAFE___T
45 Rural NA PT Percentage SH_H2O_SAFE__R
46 Urban NA PT Percentage SH_H2O_SAFE__U
47 All areas NA PT Percentage SH_H2O_SAFE___T
48 Urban NA PT Percentage SH_H2O_SAFE__U
49 Rural NA PT Percentage SH_H2O_SAFE__R
50 All areas NA PT Percentage SH_H2O_SAFE___T
51 All areas NA PT Percentage SH_H2O_SAFE___T
52 All areas NA PT Percentage SH_H2O_SAFE___T
53 Urban NA PT Percentage SH_H2O_SAFE__U
54 All areas NA PT Percentage SH_H2O_SAFE___T
55 Urban NA PT Percentage SH_H2O_SAFE__U
56 Rural NA PT Percentage SH_H2O_SAFE__R
57 Rural NA PT Percentage SH_H2O_SAFE__R
58 All areas NA PT Percentage SH_H2O_SAFE___T
59 Urban NA PT Percentage SH_H2O_SAFE__U
60 All areas NA PT Percentage SH_H2O_SAFE___T
61 Rural NA PT Percentage SH_H2O_SAFE__R
62 Urban NA PT Percentage SH_H2O_SAFE__U
63 All areas NA PT Percentage SH_H2O_SAFE___T
64 All areas NA PT Percentage SH_H2O_SAFE___T
65 All areas NA PT Percentage SH_H2O_SAFE___T
66 Urban NA PT Percentage SH_H2O_SAFE__U
67 Rural NA PT Percentage SH_H2O_SAFE__R
68 Rural NA PT Percentage SH_H2O_SAFE__R
69 Urban NA PT Percentage SH_H2O_SAFE__U
70 All areas NA PT Percentage SH_H2O_SAFE___T
71 All areas NA PT Percentage SH_H2O_SAFE___T
72 Urban NA PT Percentage SH_H2O_SAFE__U
73 Rural NA PT Percentage SH_H2O_SAFE__R
74 Rural NA PT Percentage SH_H2O_SAFE__R
75 Urban NA PT Percentage SH_H2O_SAFE__U
76 All areas NA PT Percentage SH_H2O_SAFE___T
78 Urban NA PT Percentage SH_H2O_SAFE__U
79 Rural NA PT Percentage SH_H2O_SAFE__R
80 All areas NA PT Percentage SH_H2O_SAFE___T
81 All areas NA PT Percentage SH_H2O_SAFE___T
82 Rural NA PT Percentage SH_H2O_SAFE__R
83 Urban NA PT Percentage SH_H2O_SAFE__U
84 Rural NA PT Percentage SH_H2O_SAFE__R
85 Urban NA PT Percentage SH_H2O_SAFE__U
86 All areas NA PT Percentage SH_H2O_SAFE___T
87 Rural NA PT Percentage SH_H2O_SAFE__R
88 All areas NA PT Percentage SH_H2O_SAFE___T
89 Rural NA PT Percentage SH_H2O_SAFE__R
90 Urban NA PT Percentage SH_H2O_SAFE__U
91 All areas NA PT Percentage SH_H2O_SAFE___T
92 Rural NA PT Percentage SH_H2O_SAFE__R
93 Rural NA PT Percentage SH_H2O_SAFE__R
94 All areas NA PT Percentage SH_H2O_SAFE___T
95 Urban NA PT Percentage SH_H2O_SAFE__U
96 Urban NA PT Percentage SH_H2O_SAFE__U
97 All areas NA PT Percentage SH_H2O_SAFE___T
98 Rural NA PT Percentage SH_H2O_SAFE__R
99 Rural NA PT Percentage SH_H2O_SAFE__R
100 All areas NA PT Percentage SH_H2O_SAFE___T
101 Urban NA PT Percentage SH_H2O_SAFE__U
102 Urban NA PT Percentage SH_H2O_SAFE__U
103 All areas NA PT Percentage SH_H2O_SAFE___T
104 Rural NA PT Percentage SH_H2O_SAFE__R
105 Urban NA PT Percentage SH_H2O_SAFE__U
106 All areas NA PT Percentage SH_H2O_SAFE___T
107 Rural NA PT Percentage SH_H2O_SAFE__R
108 All areas NA PT Percentage SH_H2O_SAFE___T
109 Urban NA PT Percentage SH_H2O_SAFE__U
110 All areas NA PT Percentage SH_H2O_SAFE___T
111 Urban NA PT Percentage SH_H2O_SAFE__U
112 All areas NA PT Percentage SH_H2O_SAFE___T
113 Rural NA PT Percentage SH_H2O_SAFE__R
114 All areas NA PT Percentage SH_H2O_SAFE___T
115 All areas NA PT Percentage SH_H2O_SAFE___T
116 Rural NA PT Percentage SH_H2O_SAFE__R
117 Urban NA PT Percentage SH_H2O_SAFE__U
118 Rural NA PT Percentage SH_H2O_SAFE__R
119 Urban NA PT Percentage SH_H2O_SAFE__U
120 All areas NA PT Percentage SH_H2O_SAFE___T
121 All areas NA PT Percentage SH_H2O_SAFE___T
122 Rural NA PT Percentage SH_H2O_SAFE__R
123 Urban NA PT Percentage SH_H2O_SAFE__U
124 Rural NA PT Percentage SH_H2O_SAFE__R
125 Urban NA PT Percentage SH_H2O_SAFE__U
126 All areas NA PT Percentage SH_H2O_SAFE___T
127 All areas NA PT Percentage SH_H2O_SAFE___T
128 All areas NA PT Percentage SH_H2O_SAFE___T
129 All areas NA PT Percentage SH_H2O_SAFE___T
130 Urban NA PT Percentage SH_H2O_SAFE__U
131 All areas NA PT Percentage SH_H2O_SAFE___T
132 Rural NA PT Percentage SH_H2O_SAFE__R
133 Urban NA PT Percentage SH_H2O_SAFE__U
134 All areas NA PT Percentage SH_H2O_SAFE___T
135 All areas NA PT Percentage SH_H2O_SAFE___T
136 All areas NA PT Percentage SH_H2O_SAFE___T
137 Rural NA PT Percentage SH_H2O_SAFE__R
138 Urban NA PT Percentage SH_H2O_SAFE__U
139 All areas NA PT Percentage SH_H2O_SAFE___T
140 Rural NA PT Percentage SH_H2O_SAFE__R
141 Urban NA PT Percentage SH_H2O_SAFE__U
142 All areas NA PT Percentage SH_H2O_SAFE___T
143 All areas NA PT Percentage SH_H2O_SAFE___T
144 Rural NA PT Percentage SH_H2O_SAFE__R
145 Urban NA PT Percentage SH_H2O_SAFE__U
146 All areas NA PT Percentage SH_H2O_SAFE___T
147 Urban NA PT Percentage SH_H2O_SAFE__U
148 All areas NA PT Percentage SH_H2O_SAFE___T
149 Urban NA PT Percentage SH_H2O_SAFE__U
150 All areas NA PT Percentage SH_H2O_SAFE___T
151 Rural NA PT Percentage SH_H2O_SAFE__R
152 All areas NA PT Percentage SH_H2O_SAFE___T
153 Rural NA PT Percentage SH_H2O_SAFE__R
154 Urban NA PT Percentage SH_H2O_SAFE__U
155 All areas NA PT Percentage SH_H2O_SAFE___T
156 All areas NA PT Percentage SH_H2O_SAFE___T
157 All areas NA PT Percentage SH_H2O_SAFE___T
158 All areas NA PT Percentage SH_H2O_SAFE___T
159 Urban NA PT Percentage SH_H2O_SAFE__U
160 Rural NA PT Percentage SH_H2O_SAFE__R
161 All areas NA PT Percentage SH_H2O_SAFE___T
162 All areas NA PT Percentage SH_H2O_SAFE___T
163 Urban NA PT Percentage SH_H2O_SAFE__U
164 All areas NA PT Percentage SH_H2O_SAFE___T
165 All areas NA PT Percentage SH_H2O_SAFE___T
166 Urban NA PT Percentage SH_H2O_SAFE__U
167 All areas NA PT Percentage SH_H2O_SAFE___T
168 Rural NA PT Percentage SH_H2O_SAFE__R
169 Rural NA PT Percentage SH_H2O_SAFE__R
170 Urban NA PT Percentage SH_H2O_SAFE__U
171 All areas NA PT Percentage SH_H2O_SAFE___T
172 Urban NA PT Percentage SH_H2O_SAFE__U
173 All areas NA PT Percentage SH_H2O_SAFE___T
174 Rural NA PT Percentage SH_H2O_SAFE__R
175 Rural NA PT Percentage SH_H2O_SAFE__R
176 Urban NA PT Percentage SH_H2O_SAFE__U
177 All areas NA PT Percentage SH_H2O_SAFE___T
178 Urban NA PT Percentage SH_H2O_SAFE__U
179 Rural NA PT Percentage SH_H2O_SAFE__R
180 All areas NA PT Percentage SH_H2O_SAFE___T
181 All areas NA PT Percentage SH_H2O_SAFE___T
182 All areas NA PT Percentage SH_H2O_SAFE___T
183 All areas NA PT Percentage SH_H2O_SAFE___T
184 Rural NA PT Percentage SH_H2O_SAFE__R
185 Urban NA PT Percentage SH_H2O_SAFE__U
186 Urban NA PT Percentage SH_H2O_SAFE__U
187 Rural NA PT Percentage SH_H2O_SAFE__R
188 All areas NA PT Percentage SH_H2O_SAFE___T
189 All areas NA PT Percentage SH_H2O_SAFE___T
190 Rural NA PT Percentage SH_H2O_SAFE__R
191 Urban NA PT Percentage SH_H2O_SAFE__U
192 Urban NA PT Percentage SH_H2O_SAFE__U
193 Rural NA PT Percentage SH_H2O_SAFE__R
194 All areas NA PT Percentage SH_H2O_SAFE___T
195 Urban NA PT Percentage SH_H2O_SAFE__U
196 Urban NA PT Percentage SH_H2O_SAFE__U
197 Urban NA PT Percentage SH_H2O_SAFE__U
198 Urban NA PT Percentage SH_H2O_SAFE__U
199 All areas NA PT Percentage SH_H2O_SAFE___T
200 Rural NA PT Percentage SH_H2O_SAFE__R
201 All areas NA PT Percentage SH_H2O_SAFE___T
202 Urban NA PT Percentage SH_H2O_SAFE__U
203 All areas NA PT Percentage SH_H2O_SAFE___T
204 Rural NA PT Percentage SH_H2O_SAFE__R
205 Urban NA PT Percentage SH_H2O_SAFE__U
206 All areas NA PT Percentage SH_H2O_SAFE___T
207 All areas NA PT Percentage SH_H2O_SAFE___T
208 Rural NA PT Percentage SH_H2O_SAFE__R
209 All areas NA PT Percentage SH_H2O_SAFE___T
210 Rural NA PT Percentage SH_H2O_SAFE__R
211 Urban NA PT Percentage SH_H2O_SAFE__U
212 All areas NA PT Percentage SH_H2O_SAFE___T
213 Urban NA PT Percentage SH_H2O_SAFE__U
214 Rural NA PT Percentage SH_H2O_SAFE__R
215 All areas NA PT Percentage SH_H2O_SAFE___T
216 Rural NA PT Percentage SH_H2O_SAFE__R
217 Urban NA PT Percentage SH_H2O_SAFE__U
218 All areas NA PT Percentage SH_H2O_SAFE___T
219 Urban NA PT Percentage SH_H2O_SAFE__U
220 Urban NA PT Percentage SH_H2O_SAFE__U
221 Rural NA PT Percentage SH_H2O_SAFE__R
222 All areas NA PT Percentage SH_H2O_SAFE___T
223 All areas NA PT Percentage SH_H2O_SAFE___T
224 Rural NA PT Percentage SH_H2O_SAFE__R
225 Urban NA PT Percentage SH_H2O_SAFE__U
226 All areas NA PT Percentage SH_H2O_SAFE___T
227 Urban NA PT Percentage SH_H2O_SAFE__U
228 Rural NA PT Percentage SH_H2O_SAFE__R
229 All areas NA PT Percentage SH_H2O_SAFE___T
230 Urban NA PT Percentage SH_H2O_SAFE__U
231 Rural NA PT Percentage SH_H2O_SAFE__R
232 All areas NA PT Percentage SH_H2O_SAFE___T
233 All areas NA PT Percentage SH_H2O_SAFE___T
234 Rural NA PT Percentage SH_H2O_SAFE__R
235 Urban NA PT Percentage SH_H2O_SAFE__U
236 All areas NA PT Percentage SH_H2O_SAFE___T
237 All areas NA PT Percentage SH_H2O_SAFE___T
238 All areas NA PT Percentage SH_H2O_SAFE___T
239 Urban NA PT Percentage SH_H2O_SAFE__U
240 Rural NA PT Percentage SH_H2O_SAFE__R
241 Rural NA PT Percentage SH_H2O_SAFE__R
242 Urban NA PT Percentage SH_H2O_SAFE__U
243 All areas NA PT Percentage SH_H2O_SAFE___T
244 All areas NA PT Percentage SH_H2O_SAFE___T
245 Urban NA PT Percentage SH_H2O_SAFE__U
246 Rural NA PT Percentage SH_H2O_SAFE__R
247 Rural NA PT Percentage SH_H2O_SAFE__R
248 Urban NA PT Percentage SH_H2O_SAFE__U
249 Rural NA PT Percentage SH_H2O_SAFE__R
250 Urban NA PT Percentage SH_H2O_SAFE__U
251 All areas NA PT Percentage SH_H2O_SAFE___T
252 All areas NA PT Percentage SH_H2O_SAFE___T
253 Rural NA PT Percentage SH_H2O_SAFE__R
254 All areas NA PT Percentage SH_H2O_SAFE___T
255 Urban NA PT Percentage SH_H2O_SAFE__U
256 Urban NA PT Percentage SH_H2O_SAFE__U
257 All areas NA PT Percentage SH_H2O_SAFE___T
258 Rural NA PT Percentage SH_H2O_SAFE__R
259 All areas NA PT Percentage SH_H2O_SAFE___T
260 Urban NA PT Percentage SH_H2O_SAFE__U
261 Rural NA PT Percentage SH_H2O_SAFE__R
262 Rural NA PT Percentage SH_H2O_SAFE__R
263 Urban NA PT Percentage SH_H2O_SAFE__U
264 All areas NA PT Percentage SH_H2O_SAFE___T
265 All areas NA PT Percentage SH_H2O_SAFE___T
266 Urban NA PT Percentage SH_H2O_SAFE__U
267 All areas NA PT Percentage SH_H2O_SAFE___T
268 All areas NA PT Percentage SH_H2O_SAFE___T
269 All areas NA PT Percentage SH_H2O_SAFE___T
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271 Rural NA PT Percentage SH_H2O_SAFE__R
272 Urban NA PT Percentage SH_H2O_SAFE__U
273 All areas NA PT Percentage SH_H2O_SAFE___T
274 Urban NA PT Percentage SH_H2O_SAFE__U
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276 Urban NA PT Percentage SH_H2O_SAFE__U
277 All areas NA PT Percentage SH_H2O_SAFE___T
278 Urban NA PT Percentage SH_H2O_SAFE__U
279 All areas NA PT Percentage SH_H2O_SAFE___T
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281 Urban NA PT Percentage SH_H2O_SAFE__U
282 All areas NA PT Percentage SH_H2O_SAFE___T
283 All areas NA PT Percentage SH_H2O_SAFE___T
284 Urban NA PT Percentage SH_H2O_SAFE__U
285 All areas NA PT Percentage SH_H2O_SAFE___T
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287 All areas NA PT Percentage SH_H2O_SAFE___T
288 All areas NA PT Percentage SH_H2O_SAFE___T
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290 Rural NA PT Percentage SH_H2O_SAFE__R
291 Urban NA PT Percentage SH_H2O_SAFE__U
292 Urban NA PT Percentage SH_H2O_SAFE__U
293 All areas NA PT Percentage SH_H2O_SAFE___T
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295 Rural NA PT Percentage SH_H2O_SAFE__R
296 All areas NA PT Percentage SH_H2O_SAFE___T
297 Urban NA PT Percentage SH_H2O_SAFE__U
298 Urban NA PT Percentage SH_H2O_SAFE__U
299 All areas NA PT Percentage SH_H2O_SAFE___T
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301 Rural NA PT Percentage SH_H2O_SAFE__R
302 All areas NA PT Percentage SH_H2O_SAFE___T
303 Rural NA PT Percentage SH_H2O_SAFE__R
304 All areas NA PT Percentage SH_H2O_SAFE___T
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306 Urban NA PT Percentage SH_H2O_SAFE__U
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308 All areas NA PT Percentage SH_H2O_SAFE___T
309 All areas NA PT Percentage SH_H2O_SAFE___T
310 All areas NA PT Percentage SH_H2O_SAFE___T
311 Urban NA PT Percentage SH_H2O_SAFE__U
312 Rural NA PT Percentage SH_H2O_SAFE__R
313 All areas NA PT Percentage SH_H2O_SAFE___T
314 Urban NA PT Percentage SH_H2O_SAFE__U
315 Rural NA PT Percentage SH_H2O_SAFE__R
316 Rural NA PT Percentage SH_H2O_SAFE__R
317 All areas NA PT Percentage SH_H2O_SAFE___T
318 Urban NA PT Percentage SH_H2O_SAFE__U
319 All areas NA PT Percentage SH_H2O_SAFE___T
320 All areas NA PT Percentage SH_H2O_SAFE___T
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322 Urban NA PT Percentage SH_H2O_SAFE__U
323 Urban NA PT Percentage SH_H2O_SAFE__U
324 Rural NA PT Percentage SH_H2O_SAFE__R
325 All areas NA PT Percentage SH_H2O_SAFE___T
326 All areas NA PT Percentage SH_H2O_SAFE___T
327 All areas NA PT Percentage SH_H2O_SAFE___T
328 All areas NA PT Percentage SH_H2O_SAFE___T
329 All areas NA PT Percentage SH_H2O_SAFE___T
330 Urban NA PT Percentage SH_H2O_SAFE__U
timeSeries_keys.y n_years.y min_year.y max_year.y
1 location 21 2000 2020
2 location 21 2000 2020
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304 location 21 2000 2020
305 location 21 2000 2020
306 location 21 2000 2020
307 location 21 2000 2020
308 location 21 2000 2020
309 location 21 2000 2020
310 location 21 2000 2020
311 location 21 2000 2020
312 location 21 2000 2020
313 location 21 2000 2020
314 location 21 2000 2020
315 location 21 2000 2020
316 location 21 2000 2020
317 location 21 2000 2020
318 location 21 2000 2020
319 location 21 2000 2020
320 location 16 2005 2020
321 location 21 2000 2020
322 location 21 2000 2020
323 location 21 2000 2020
324 location 21 2000 2020
325 location 21 2000 2020
326 location 21 2000 2020
327 location 21 2000 2020
328 location 21 2000 2020
329 location 21 2000 2020
330 location 21 2000 2020
years.y
1 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
2 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
3 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
4 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
5 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
6 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
7 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
8 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
9 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
10 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
11 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
12 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
13 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
14 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
15 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
16 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
17 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
18 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
19 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
20 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
21 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
22 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
23 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
24 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
25 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
26 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
27 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
28 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
29 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
30 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
31 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
32 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
33 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
34 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
35 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
36 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
37 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
38 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
41 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
42 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
43 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
44 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
45 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
46 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
47 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
48 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
49 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
50 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
51 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
52 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
53 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
54 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
55 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
56 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
57 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
58 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
59 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
60 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
61 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
62 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
63 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
64 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
65 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
66 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
67 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
68 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
69 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
70 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
71 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
72 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
73 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
74 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
75 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
76 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
78 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
79 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
80 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
81 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
82 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
83 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
84 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
85 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
86 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
87 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
88 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
89 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
90 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
91 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
92 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
93 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
94 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
95 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
96 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
97 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
98 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
99 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
100 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
101 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
102 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
103 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
104 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
105 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
106 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
107 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
108 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
109 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
110 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
111 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
112 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
113 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
114 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
115 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
116 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
117 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
118 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
119 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
120 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
121 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
122 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
123 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
124 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
125 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
126 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
127 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
128 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
129 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
130 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
131 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
132 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
133 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
134 [2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
135 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
136 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
137 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
138 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
139 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
140 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
141 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
142 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
143 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
144 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
145 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
146 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
147 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
148 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
149 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
150 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
151 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
152 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
153 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
154 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
155 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
156 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
157 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
158 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
159 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
160 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
161 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
162 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
163 [2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
164 [2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
165 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
166 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
167 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
168 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
169 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
170 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
171 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
172 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
173 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
174 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
175 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
176 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
177 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
178 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
179 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
180 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
181 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
182 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
183 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
184 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
185 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
186 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
187 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
188 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
189 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
190 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
191 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
192 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
193 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
194 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
195 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
196 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
197 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
198 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
199 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
200 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
201 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
202 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
203 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
204 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
205 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
206 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
207 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
208 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
209 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
210 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
211 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
212 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
213 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
214 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
215 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
216 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
217 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
218 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
219 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
220 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
221 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
222 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
223 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
224 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
225 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
226 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
227 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
228 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
229 [2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
230 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
231 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
232 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
233 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
234 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
235 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
236 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
237 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
238 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
239 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
240 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
241 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
242 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
243 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
244 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
245 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
246 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
247 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
248 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
249 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
250 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
251 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
252 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
253 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
254 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
255 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
256 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
257 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
258 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
259 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
260 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
261 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
262 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
263 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
264 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
265 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
266 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
267 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
268 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
269 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
270 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
271 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
272 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
273 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
274 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
275 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
276 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
277 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
278 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
279 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
280 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
281 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
282 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
283 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
284 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
285 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
286 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
287 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
288 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
289 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
290 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
291 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
292 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
293 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
294 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
295 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
296 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
297 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
298 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
299 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
300 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
301 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
302 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
303 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
304 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
305 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
306 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
307 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
308 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
309 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
310 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
311 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
312 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
313 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
314 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
315 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
316 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
317 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
318 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
319 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
320 [2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
321 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
322 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
323 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
324 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
325 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
326 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
327 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
328 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
329 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
330 [2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020]
value_2000 value_2001 value_2002 value_2003 value_2004 value_2005
1 90 90 91 91 92 92
2 51 52 54 56 58 59
3 18 20 21 23 24 26
4 27 29 30 32 33 35
5 81 81 81 81 83 84
6 17 17 18 18 19 19
7 45 45 46 47 47 48
8 11 11 11 12 12 13
9 70 71 71 72 72 73
10 52 53 54 55 56 57
11 82 82 82 82 82 82
12 98 98 98 98 98 98
13 9 8 8 8 8 8
14 3 3 3 3 3 3
15 17 17 16 16 16 16
16 84 84 85 85 85 85
17 84 84 85 85 85 85
18 84 84 85 85 85 85
19 84 84 85 85 85 85
20 15 15 15 15 15 16
21 6 6 6 6 6 6
22 3 3 3 3 3 3
23 92 93 93 93 94 94
24 98 98 98 98 98 99
25 90 90 90 90 90 90
26 34 34 34 35 35 35
27 69 69 70 70 70 71
28 81 81 81 81 82 82
29 42 42 42 42 44 46
30 7 7 7 7 8 8
31 27 28 28 28 30 31
32 28 28 29 29 30 31
33 0 1 1 1 1 1
34 10 10 11 11 11 12
35 80 80 80 80 80 80
36 71 72 72 73 74 74
37 76 77 77 77 78 78
38 94 94 94 94 94 94
41 96 96 96 96 96 96
42 94 94 94 94 94 95
43 68 69 69 69 70 70
44 58 59 59 60 60 61
45 43 43 44 44 45 45
46 83 83 83 83 82 82
47 5 5 6 6 6 6
48 33 35 35 36 36 36
49 0 0 0 0 0 1
50 94 94 94 94 94 94
51 93 94 94 95 95 96
52 96 96 96 96 97 97
53 98 98 98 98 98 98
54 62 62 62 63 63 63
55 84 84 84 84 84 84
56 38 39 39 39 39 39
57 4 4 5 5 5 5
58 23 25 26 27 28 29
59 44 46 47 48 49 50
60 100 100 100 100 100 100
61 0 0 0 1 2 2
62 30 30 32 33 35 36
63 13 14 15 16 17 18
64 10 10 10 10 11 11
65 10 10 10 10 11 11
66 16 17 17 17 17 18
67 5 5 5 5 5 6
68 5 5 5 5 5 6
69 16 17 17 17 17 18
70 10 10 10 10 11 11
71 10 10 10 10 11 11
72 16 17 17 17 17 18
73 5 5 5 5 5 6
74 5 5 5 5 5 6
75 16 17 17 17 17 18
76 99 99 99 99 99 99
78 81 82 83 84 85 87
79 34 36 38 40 43 45
80 58 60 61 63 65 67
81 47 47 48 48 49 49
82 39 40 40 40 41 41
83 56 56 57 57 58 59
84 16 16 16 16 16 17
85 94 94 94 94 94 94
86 92 92 92 92 92 92
87 89 89 89 89 89 89
88 90 90 91 91 92 93
89 29 31 32 33 35 36
90 98 98 98 98 98 98
91 90 91 91 91 91 91
92 81 81 82 82 82 83
93 81 81 82 82 82 83
94 90 91 91 91 91 91
95 96 96 96 96 96 96
96 96 96 96 96 96 96
97 90 91 91 91 91 91
98 81 81 82 82 82 83
99 81 81 82 82 82 83
100 90 91 91 91 91 91
101 96 96 96 96 96 96
102 96 96 96 96 96 96
103 50 51 51 52 52 53
104 28 29 30 31 32 33
105 61 61 61 61 61 62
106 93 94 94 94 94 95
107 100 100 100 100 100 100
108 100 100 100 100 100 100
109 100 100 100 100 100 100
110 95 95 95 95 96 96
111 57 57 57 57 56 56
112 34 34 34 34 34 34
113 17 17 17 17 17 16
114 98 98 98 98 98 98
115 63 63 65 67 68 70
116 8 8 9 10 10 11
117 21 21 21 22 23 24
118 8 8 9 10 10 11
119 21 21 21 22 23 24
120 11 11 12 13 13 14
121 11 11 12 13 13 14
122 8 8 9 10 10 11
123 21 21 21 22 23 24
124 8 8 9 10 10 11
125 21 21 21 22 23 24
126 11 11 12 13 13 14
127 11 11 12 13 13 14
128 96 97 97 97 97 97
129 54 54 54 54 54 54
130 61 61 61 61 61 60
131 69 69 69 69 69 69
132 55 55 55 55 55 54
133 79 79 79 79 79 79
134 NA NA 97 97 97 97
135 100 100 100 100 100 100
136 46 46 46 47 47 49
137 27 27 28 28 28 30
138 80 80 80 81 81 82
139 5 7 9 11 11 12
140 0 2 4 7 7 7
141 21 22 22 22 23 23
142 44 44 45 45 45 45
143 9 10 11 12 12 13
144 1 1 2 2 3 3
145 41 43 44 46 48 50
146 93 93 93 93 93 93
147 92 93 93 94 94 95
148 67 68 68 68 70 72
149 100 100 100 100 100 100
150 100 100 100 100 100 100
151 100 100 100 100 100 100
152 7 7 8 9 9 10
153 2 2 3 3 4 4
154 19 20 21 22 23 24
155 93 93 93 93 93 93
156 100 100 100 100 100 100
157 99 99 99 99 99 99
158 39 40 40 40 40 40
159 35 35 36 36 36 36
160 1 1 2 2 3 3
161 21 21 22 22 23 24
162 40 42 44 46 48 50
163 NA NA NA NA NA NA
164 NA NA NA NA NA NA
165 55 55 55 55 55 55
166 42 42 42 42 42 42
167 55 55 55 55 55 55
168 59 59 60 60 60 60
169 59 59 60 60 60 60
170 42 42 42 42 42 42
171 55 55 55 55 55 55
172 42 42 42 42 42 42
173 55 55 55 55 55 55
174 59 59 60 60 60 60
175 59 59 60 60 60 60
176 42 42 42 42 42 42
177 54 55 56 56 57 58
178 86 86 86 86 86 87
179 17 19 20 21 22 23
180 80 80 80 80 80 81
181 84 84 84 84 84 84
182 27 27 27 28 28 28
183 27 27 27 28 28 28
184 25 25 26 26 26 26
185 38 38 38 38 38 38
186 38 38 38 38 38 38
187 25 25 26 26 26 26
188 27 27 27 28 28 28
189 27 27 27 28 28 28
190 25 25 26 26 26 26
191 38 38 38 38 38 38
192 38 38 38 38 38 38
193 25 25 26 26 26 26
194 100 100 100 100 100 100
195 54 54 54 54 54 55
196 54 54 54 54 54 55
197 54 54 54 54 54 55
198 54 54 54 54 54 55
199 82 82 82 82 82 82
200 26 26 26 26 26 26
201 48 48 48 48 48 48
202 65 66 66 66 66 66
203 99 99 99 99 99 99
204 10 10 10 11 11 12
205 22 22 22 22 22 22
206 14 14 15 15 15 16
207 100 100 100 100 100 100
208 31 31 32 32 32 32
209 37 38 38 38 38 38
210 31 31 32 32 32 32
211 50 50 50 50 50 49
212 37 38 38 38 38 38
213 50 50 50 50 50 49
214 31 31 32 32 32 32
215 37 38 38 38 38 38
216 31 31 32 32 32 32
217 50 50 50 50 50 49
218 37 38 38 38 38 38
219 50 50 50 50 50 49
220 68 68 68 68 69 69
221 27 28 30 31 33 34
222 50 51 52 52 53 54
223 45 45 46 46 47 47
224 14 14 15 15 16 16
225 56 57 57 57 57 57
226 36 36 38 41 43 44
227 54 54 56 58 60 60
228 21 21 24 26 28 31
229 NA NA NA NA NA 91
230 97 97 97 97 97 97
231 89 89 89 89 90 90
232 93 93 94 94 94 94
233 18 18 18 19 19 19
234 5 5 5 6 6 6
235 40 40 40 41 41 41
236 97 97 97 97 97 97
237 29 29 30 30 31 31
238 29 29 30 30 31 31
239 49 49 49 49 49 49
240 22 22 23 23 23 24
241 22 22 23 23 23 24
242 49 49 49 49 49 49
243 29 29 30 30 31 31
244 29 29 30 30 31 31
245 49 49 49 49 49 49
246 22 22 23 23 23 24
247 22 22 23 23 23 24
248 49 49 49 49 49 49
249 67 67 67 67 67 67
250 95 95 95 95 95 95
251 82 82 82 82 82 82
252 75 75 75 75 75 75
253 0 1 1 1 1 1
254 4 5 5 5 6 6
255 24 25 27 28 29 30
256 32 32 33 33 34 34
257 26 26 27 27 28 28
258 18 19 19 19 19 20
259 74 74 74 74 75 75
260 81 81 81 81 81 81
261 66 66 66 66 66 67
262 2 2 2 2 3 3
263 11 11 11 11 11 11
264 5 5 5 5 6 6
265 87 87 88 88 88 88
266 100 100 100 100 100 100
267 100 100 100 100 100 100
268 92 92 93 93 94 95
269 80 80 80 81 83 84
270 90 90 90 90 90 90
271 17 17 17 17 17 16
272 64 64 64 64 64 64
273 33 33 33 33 33 33
274 84 84 84 84 84 84
275 99 99 99 99 99 99
276 100 100 100 100 100 100
277 99 99 99 99 99 100
278 62 62 62 62 63 63
279 52 52 52 52 53 53
280 30 31 31 32 32 33
281 68 69 71 72 74 75
282 99 99 99 99 99 99
283 94 94 94 94 94 94
284 83 83 83 83 83 83
285 76 77 77 77 78 78
286 47 49 51 52 52 53
287 36 37 38 39 40 41
288 10 10 11 11 12 12
289 22 22 23 24 25 25
290 4 4 5 5 5 5
291 50 50 50 50 50 50
292 50 50 50 50 50 50
293 29 29 29 29 29 29
294 23 23 23 23 23 23
295 23 23 23 23 23 23
296 29 29 29 29 29 29
297 50 50 50 50 50 50
298 50 50 50 50 50 50
299 29 29 29 29 29 29
300 23 23 23 23 23 23
301 23 23 23 23 23 23
302 29 29 29 29 29 29
303 57 58 58 59 60 60
304 73 74 74 74 75 75
305 83 83 83 83 83 83
306 86 86 86 86 86 87
307 51 53 55 57 59 61
308 67 68 69 70 71 73
309 49 49 49 49 51 53
310 2 3 3 4 4 5
311 15 17 18 19 21 22
312 0 0 1 1 1 2
313 67 67 67 67 69 72
314 95 95 95 95 94 94
315 9 9 9 9 17 26
316 74 74 74 74 74 74
317 80 80 80 80 80 80
318 85 85 85 85 85 85
319 100 100 100 100 100 100
320 NA NA NA NA NA 95
321 96 96 96 96 96 96
322 94 94 94 94 94 94
323 84 84 84 85 85 85
324 32 32 32 32 31 31
325 56 56 57 57 57 57
326 45 45 45 45 45 45
327 45 45 45 45 45 45
328 45 45 45 45 45 45
329 45 45 45 45 45 45
330 44 45 46 46 47 47
value_2006 value_2007 value_2008 value_2009 value_2010 value_2011
1 93 93 94 94 95 95
2 61 63 65 67 68 70
3 27 29 30 32 34 35
4 37 38 40 42 44 45
5 85 86 88 89 90 91
6 20 20 21 21 22 23
7 49 49 50 50 51 52
8 13 13 14 14 15 15
9 73 74 74 75 75 75
10 57 58 59 60 61 62
11 82 82 82 82 82 82
12 98 98 98 98 99 99
13 8 8 7 7 7 7
14 3 3 3 3 3 3
15 15 15 15 14 14 14
16 86 87 87 88 88 89
17 86 87 87 88 88 89
18 86 87 87 88 88 89
19 86 87 87 88 88 89
20 16 16 16 16 16 16
21 6 6 6 6 6 6
22 3 3 3 3 3 3
23 95 95 96 96 96 97
24 99 99 99 99 99 99
25 90 89 89 89 89 90
26 36 36 36 37 37 37
27 71 71 71 71 72 72
28 82 82 82 82 81 81
29 48 50 52 53 55 57
30 9 10 11 12 12 13
31 33 35 36 38 40 41
32 31 32 32 33 34 34
33 1 1 1 1 1 1
34 12 13 13 13 14 14
35 80 80 80 80 80 80
36 75 75 76 76 77 78
37 78 79 79 79 79 79
38 94 94 94 94 94 94
41 97 97 97 97 98 98
42 95 96 96 96 97 97
43 71 71 71 72 72 72
44 61 62 62 63 63 64
45 46 46 47 47 48 48
46 82 82 81 81 81 80
47 6 7 7 7 8 8
48 36 36 37 37 37 37
49 1 1 1 1 2 2
50 95 95 95 96 96 96
51 96 97 97 97 98 98
52 97 97 97 98 98 98
53 99 99 99 99 99 99
54 63 63 64 64 64 64
55 84 84 84 84 84 84
56 39 39 39 39 39 39
57 5 5 6 6 6 6
58 30 31 32 33 34 35
59 51 52 54 55 56 57
60 100 100 100 100 100 100
61 3 4 5 5 6 7
62 38 39 41 42 44 45
63 20 21 22 24 25 27
64 11 11 11 12 12 12
65 11 11 11 12 12 12
66 18 18 18 19 19 19
67 6 6 6 6 6 6
68 6 6 6 6 6 6
69 18 18 18 19 19 19
70 11 11 11 12 12 12
71 11 11 11 12 12 12
72 18 18 18 19 19 19
73 6 6 6 6 6 6
74 6 6 6 6 6 6
75 18 18 18 19 19 19
76 99 99 99 99 99 100
78 88 89 90 92 93 94
79 48 50 53 55 58 61
80 69 71 73 75 77 79
81 50 50 51 51 52 52
82 41 42 42 42 42 43
83 59 60 60 61 62 62
84 17 17 17 17 17 17
85 94 94 94 94 94 94
86 92 92 92 92 92 92
87 89 89 89 89 89 89
88 93 94 95 95 96 96
89 37 39 40 42 43 45
90 98 98 99 99 99 99
91 92 92 92 92 92 93
92 83 83 83 84 84 84
93 83 83 83 84 84 84
94 92 92 92 92 92 93
95 96 96 96 96 96 96
96 96 96 96 96 96 96
97 92 92 92 92 92 93
98 83 83 83 84 84 84
99 83 83 83 84 84 84
100 92 92 92 92 92 93
101 96 96 96 96 96 96
102 96 96 96 96 96 96
103 53 54 54 54 55 55
104 34 35 36 37 38 39
105 62 62 62 62 63 63
106 95 95 95 95 96 96
107 100 100 100 100 100 100
108 100 100 100 100 100 100
109 100 100 100 100 100 100
110 96 96 96 96 96 96
111 56 56 56 56 56 56
112 34 35 35 35 35 35
113 16 16 16 16 16 16
114 98 98 98 98 98 98
115 71 73 75 76 78 80
116 12 13 15 15 16 17
117 25 26 26 27 28 29
118 12 13 15 15 16 17
119 25 26 26 27 28 29
120 15 16 17 18 19 20
121 15 16 17 18 19 20
122 12 13 15 15 16 17
123 25 26 26 27 28 29
124 12 13 15 15 16 17
125 25 26 26 27 28 29
126 15 16 17 18 19 20
127 15 16 17 18 19 20
128 98 98 98 98 99 99
129 56 58 60 62 64 66
130 60 60 60 59 59 59
131 69 68 68 68 68 68
132 54 54 53 53 52 52
133 78 78 78 78 78 78
134 97 97 97 98 98 98
135 100 100 100 100 100 100
136 50 52 54 56 58 59
137 32 35 37 39 41 43
138 83 84 85 87 88 89
139 12 12 13 13 14 14
140 8 8 8 9 9 10
141 23 23 24 24 24 25
142 45 46 46 46 46 46
143 14 15 16 17 18 19
144 3 4 4 5 5 5
145 52 54 55 57 59 61
146 93 93 93 93 94 94
147 95 96 96 96 97 97
148 74 76 79 81 83 85
149 100 100 100 100 100 100
150 100 100 100 100 100 100
151 100 100 100 100 100 100
152 11 11 12 13 14 15
153 5 5 6 6 7 8
154 24 25 26 27 28 29
155 93 93 93 93 93 93
156 100 100 100 100 100 100
157 99 99 99 99 99 99
158 41 41 41 41 41 42
159 36 36 37 37 37 37
160 3 4 4 5 5 6
161 24 25 25 26 27 27
162 53 55 57 60 62 65
163 87 87 87 87 87 87
164 84 84 84 84 84 84
165 55 55 55 55 55 55
166 42 42 42 42 42 42
167 55 55 55 55 55 55
168 60 60 60 60 60 61
169 60 60 60 60 60 61
170 42 42 42 42 42 42
171 55 55 55 55 55 55
172 42 42 42 42 42 42
173 55 55 55 55 55 55
174 60 60 60 60 60 61
175 60 60 60 60 60 61
176 42 42 42 42 42 42
177 59 60 61 62 64 66
178 87 87 87 87 88 89
179 25 26 27 28 31 33
180 81 81 81 81 81 82
181 85 85 85 86 86 87
182 28 29 29 29 29 30
183 28 29 29 29 29 30
184 27 27 27 27 28 28
185 38 38 38 38 38 38
186 38 38 38 38 38 38
187 27 27 27 27 28 28
188 28 29 29 29 29 30
189 28 29 29 29 29 30
190 27 27 27 27 28 28
191 38 38 38 38 38 38
192 38 38 38 38 38 38
193 27 27 27 27 28 28
194 100 100 100 100 100 100
195 55 55 55 55 55 56
196 55 55 55 55 55 56
197 55 55 55 55 55 56
198 55 55 55 55 55 56
199 84 85 86 88 89 90
200 26 26 28 30 32 34
201 48 49 50 51 52 53
202 66 66 66 67 67 67
203 99 99 99 99 99 100
204 12 12 13 13 14 14
205 23 23 23 23 23 24
206 16 17 17 18 18 18
207 100 100 100 99 99 99
208 32 32 32 32 32 32
209 38 37 37 37 37 37
210 32 32 32 32 32 32
211 48 48 47 46 46 45
212 38 37 37 37 37 37
213 48 48 47 46 46 45
214 32 32 32 32 32 32
215 38 37 37 37 37 37
216 32 32 32 32 32 32
217 48 48 47 46 46 45
218 38 37 37 37 37 37
219 48 48 47 46 46 45
220 69 70 70 70 70 71
221 35 37 38 39 41 42
222 55 56 57 57 58 59
223 47 48 48 48 49 49
224 16 17 17 18 18 18
225 57 57 58 58 58 58
226 45 45 45 45 45 45
227 60 60 61 61 61 61
228 32 32 32 32 32 33
229 91 92 92 93 93 94
230 97 97 97 98 98 98
231 90 90 90 90 90 90
232 94 94 94 95 95 95
233 20 20 20 21 21 21
234 6 7 7 7 8 8
235 41 41 41 41 41 41
236 97 97 97 97 97 97
237 32 32 33 33 34 34
238 32 32 33 33 34 34
239 49 49 49 49 49 49
240 24 24 25 25 25 26
241 24 24 25 25 25 26
242 49 49 49 49 49 49
243 32 32 33 33 34 34
244 32 32 33 33 34 34
245 49 49 49 49 49 49
246 24 24 25 25 25 26
247 24 24 25 25 25 26
248 49 49 49 49 49 49
249 67 67 67 67 67 67
250 95 95 95 95 95 95
251 82 82 82 82 82 82
252 75 75 75 75 75 75
253 2 2 2 2 3 3
254 7 7 7 8 8 9
255 31 32 33 34 35 36
256 35 35 35 36 36 37
257 29 29 30 31 31 32
258 20 20 21 21 21 22
259 75 75 75 75 75 75
260 81 81 81 81 81 81
261 67 67 67 67 67 67
262 3 4 4 4 5 5
263 11 11 11 11 12 12
264 6 6 7 7 7 8
265 88 88 88 88 89 89
266 100 100 100 100 100 100
267 100 100 100 100 100 100
268 95 96 97 97 98 99
269 85 86 87 89 90 91
270 90 89 89 88 87 87
271 16 16 16 15 15 15
272 64 64 64 64 64 65
273 33 32 32 32 32 31
274 84 84 84 84 84 84
275 99 99 99 99 99 99
276 100 100 100 100 100 100
277 100 100 100 100 100 100
278 63 63 63 63 63 63
279 53 53 53 53 54 54
280 33 34 35 35 36 36
281 77 78 80 81 83 84
282 100 100 100 100 100 100
283 94 94 94 94 94 94
284 83 83 83 83 83 83
285 78 78 79 79 79 79
286 54 54 55 56 56 57
287 43 44 45 46 47 49
288 13 13 14 14 14 15
289 26 27 28 28 29 30
290 5 5 5 5 6 6
291 50 50 50 50 50 50
292 50 50 50 50 50 50
293 29 29 29 29 29 29
294 23 23 23 23 23 23
295 23 23 23 23 23 23
296 29 29 29 29 29 29
297 50 50 50 50 50 50
298 50 50 50 50 50 50
299 29 29 29 29 29 29
300 23 23 23 23 23 23
301 23 23 23 23 23 23
302 29 29 29 29 29 29
303 61 61 62 62 63 64
304 75 76 76 76 77 77
305 83 83 83 83 83 83
306 88 89 90 91 92 92
307 63 66 68 70 73 75
308 75 77 78 80 82 84
309 54 56 58 60 62 64
310 6 6 7 8 8 9
311 23 25 26 28 29 30
312 2 2 3 3 3 4
313 75 77 80 82 85 87
314 93 93 92 92 91 90
315 35 44 53 62 71 80
316 74 74 74 74 75 75
317 80 80 80 80 80 80
318 85 85 85 85 85 85
319 100 100 100 100 100 100
320 95 95 95 95 95 96
321 96 96 96 96 97 97
322 94 94 94 94 94 94
323 85 85 85 85 85 86
324 31 30 30 30 30 30
325 57 57 58 58 58 59
326 45 45 45 45 45 46
327 45 45 45 45 45 46
328 45 45 45 45 45 46
329 45 45 45 45 45 46
330 48 49 49 50 50 50
value_2012 value_2013 value_2014 value_2015 value_2016.y value_2017
1 96 96 97 97 97 97
2 70 71 71 71 72 72
3 37 39 41 43 45 47
4 47 48 50 51 53 54
5 92 93 94 94 95 95
6 23 24 24 25 25 26
7 52 53 54 54 55 55
8 15 16 16 16 17 17
9 76 76 76 76 75 75
10 63 64 65 66 67 68
11 82 82 81 79 78 77
12 99 99 99 99 99 99
13 7 7 7 7 7 6
14 3 3 3 3 2 2
15 14 13 13 13 13 12
16 90 90 91 91 92 93
17 90 90 91 91 92 93
18 90 90 91 91 92 93
19 90 90 91 91 92 93
20 16 17 17 17 17 17
21 6 6 6 6 6 6
22 2 2 2 2 2 2
23 97 98 98 98 99 99
24 99 99 99 99 99 99
25 91 92 92 93 94 95
26 38 38 38 39 39 39
27 72 72 72 72 73 73
28 81 81 81 81 81 81
29 58 58 58 58 59 59
30 14 15 16 17 18 19
31 42 43 44 44 45 45
32 35 36 36 37 38 38
33 1 1 1 1 1 1
34 15 15 16 16 17 17
35 80 80 80 80 80 80
36 78 79 79 80 80 81
37 80 80 80 80 80 81
38 94 94 94 94 94 94
41 98 99 99 99 99 100
42 97 97 97 97 97 97
43 73 73 74 74 74 75
44 64 64 65 65 66 66
45 49 49 50 50 51 51
46 80 80 80 79 79 79
47 9 9 9 10 10 11
48 37 38 38 38 38 38
49 2 3 3 3 4 4
50 96 96 96 96 96 96
51 99 99 100 100 100 100
52 98 98 99 99 99 99
53 99 99 99 99 99 100
54 65 65 65 65 65 66
55 84 84 84 84 84 84
56 40 40 40 40 40 40
57 6 6 7 7 7 7
58 36 37 38 39 40 42
59 58 59 61 62 63 64
60 100 100 100 100 100 100
61 8 9 10 11 12 13
62 47 49 50 52 54 55
63 28 30 31 33 35 36
64 13 13 13 13 14 14
65 13 13 13 13 14 14
66 19 19 20 20 20 20
67 6 6 6 6 6 6
68 6 6 6 6 6 6
69 19 19 20 20 20 20
70 13 13 13 13 14 14
71 13 13 13 13 14 14
72 19 19 20 20 20 20
73 6 6 6 6 6 6
74 6 6 6 6 6 6
75 19 19 20 20 20 20
76 100 100 100 100 100 100
78 95 95 95 96 96 96
79 63 66 69 72 73 75
80 80 82 83 85 86 86
81 53 53 54 54 55 55
82 43 43 44 44 44 45
83 63 63 64 64 65 65
84 18 18 18 18 18 18
85 94 94 94 94 94 94
86 92 92 92 92 93 93
87 89 89 89 89 89 89
88 97 98 98 99 100 100
89 46 48 49 51 52 54
90 99 99 99 99 99 99
91 93 93 93 93 93 94
92 85 85 85 86 86 86
93 85 85 85 86 86 86
94 93 93 93 93 93 94
95 96 96 96 96 96 96
96 96 96 96 96 96 96
97 93 93 93 93 93 94
98 85 85 85 86 86 86
99 85 85 85 86 86 86
100 93 93 93 93 93 94
101 96 96 96 96 96 96
102 96 96 96 96 96 96
103 56 56 57 57 58 58
104 40 41 42 43 44 45
105 63 63 63 64 64 64
106 96 96 97 97 97 97
107 100 100 99 99 99 99
108 100 100 100 100 99 99
109 100 100 100 100 99 99
110 96 96 96 96 96 96
111 55 55 55 55 55 55
112 35 35 35 35 35 35
113 16 15 15 15 15 15
114 98 98 98 98 98 98
115 81 83 84 86 88 89
116 18 19 20 20 21 22
117 30 31 32 32 33 34
118 18 19 20 20 21 22
119 30 31 32 32 33 34
120 21 22 23 23 24 25
121 21 22 23 23 24 25
122 18 19 20 20 21 22
123 30 31 32 32 33 34
124 18 19 20 20 21 22
125 30 31 32 32 33 34
126 21 22 23 23 24 25
127 21 22 23 23 24 25
128 99 99 99 99 99 99
129 68 71 73 75 77 79
130 59 59 58 58 58 58
131 67 67 67 67 67 67
132 52 51 51 50 50 50
133 78 78 78 77 77 77
134 98 98 98 99 99 99
135 100 100 100 100 100 100
136 61 63 65 66 68 68
137 46 48 50 53 55 56
138 90 90 90 91 91 91
139 15 15 15 16 16 17
140 10 10 11 11 11 12
141 25 25 26 26 26 26
142 46 47 47 47 47 47
143 20 21 22 23 25 26
144 6 6 7 7 7 8
145 63 65 67 69 70 72
146 94 95 95 95 95 96
147 98 98 99 99 99 99
148 87 89 91 94 94 94
149 100 100 100 100 100 100
150 100 100 100 100 100 99
151 100 99 99 98 98 97
152 15 16 17 17 18 19
153 8 8 9 9 9 9
154 30 31 32 33 34 35
155 93 93 94 94 94 94
156 100 100 100 100 100 100
157 99 99 99 99 99 99
158 42 42 42 42 42 43
159 37 37 38 38 38 38
160 6 7 7 8 9 9
161 27 28 28 28 29 29
162 67 70 72 72 73 73
163 87 87 87 87 87 87
164 84 85 85 85 85 85
165 55 56 56 56 57 57
166 43 45 46 47 48 49
167 55 56 56 56 57 57
168 61 61 61 61 61 62
169 61 61 61 61 61 62
170 43 45 46 47 48 49
171 55 56 56 56 57 57
172 43 45 46 47 48 49
173 55 56 56 56 57 57
174 61 61 61 61 61 62
175 61 61 61 61 61 62
176 43 45 46 47 48 49
177 67 69 71 72 74 75
178 89 89 90 90 90 90
179 36 39 42 45 48 51
180 82 83 84 84 85 85
181 87 88 88 89 89 89
182 30 28 27 25 24 22
183 30 28 27 25 24 22
184 28 27 25 24 22 21
185 38 36 35 33 31 30
186 38 36 35 33 31 30
187 28 27 25 24 22 21
188 30 28 27 25 24 22
189 30 28 27 25 24 22
190 28 27 25 24 22 21
191 38 36 35 33 31 30
192 38 36 35 33 31 30
193 28 27 25 24 22 21
194 100 100 100 100 100 100
195 56 56 56 56 56 57
196 56 56 56 56 56 57
197 56 56 56 56 56 57
198 56 56 56 56 56 57
199 92 93 94 96 97 98
200 36 38 39 39 39 39
201 54 55 55 55 55 55
202 67 67 67 67 67 67
203 100 100 100 100 100 100
204 14 15 15 16 16 16
205 24 24 24 24 25 25
206 19 19 19 20 20 21
207 99 99 99 99 99 99
208 33 33 33 33 33 33
209 37 37 36 36 36 36
210 33 33 33 33 33 33
211 44 44 43 42 42 41
212 37 37 36 36 36 36
213 44 44 43 42 42 41
214 33 33 33 33 33 33
215 37 37 36 36 36 36
216 33 33 33 33 33 33
217 44 44 43 42 42 41
218 37 37 36 36 36 36
219 44 44 43 42 42 41
220 71 71 71 72 72 72
221 44 45 46 48 49 50
222 60 61 61 62 63 64
223 49 49 50 50 50 50
224 19 19 20 20 20 21
225 58 58 58 59 59 59
226 46 46 46 46 47 47
227 61 61 61 61 61 61
228 33 33 33 33 34 34
229 94 95 95 96 97 97
230 98 98 98 98 97 97
231 91 91 91 92 92 92
232 95 95 95 95 95 95
233 22 22 22 23 23 23
234 8 9 9 9 10 10
235 41 41 41 41 41 41
236 96 96 96 96 96 96
237 34 35 35 36 36 36
238 34 35 35 36 36 36
239 49 49 49 49 49 49
240 26 26 27 27 27 28
241 26 26 27 27 27 28
242 49 49 49 49 49 49
243 34 35 35 36 36 36
244 34 35 35 36 36 36
245 49 49 49 49 49 49
246 26 26 27 27 27 28
247 26 26 27 27 27 28
248 49 49 49 49 49 49
249 67 67 67 67 67 67
250 95 95 95 95 95 95
251 82 82 82 82 82 82
252 75 75 76 76 76 76
253 3 3 4 4 4 4
254 9 9 10 10 11 11
255 37 39 40 41 42 43
256 37 38 38 39 39 40
257 32 33 33 34 35 35
258 22 22 23 23 23 24
259 75 75 75 75 75 75
260 81 81 82 82 82 82
261 67 67 67 67 67 67
262 5 6 6 7 7 8
263 12 12 12 12 12 12
264 8 8 9 9 9 10
265 89 89 89 89 89 89
266 100 100 100 100 100 100
267 100 100 100 100 100 100
268 99 99 99 99 99 99
269 92 94 95 96 97 98
270 86 86 85 84 84 83
271 15 14 14 14 14 14
272 65 65 65 65 65 65
273 31 31 31 30 30 30
274 84 84 83 83 83 83
275 99 99 99 99 99 99
276 100 100 100 100 100 100
277 100 100 100 100 100 100
278 63 63 63 63 63 63
279 54 54 54 55 55 55
280 37 37 38 38 39 39
281 86 86 87 87 88 88
282 100 100 100 100 100 100
283 94 94 94 94 94 94
284 84 84 85 85 86 86
285 80 80 81 82 83 84
286 58 59 61 63 64 66
287 49 50 51 52 53 54
288 16 16 17 17 18 18
289 31 32 33 33 34 35
290 6 6 6 6 6 6
291 50 50 50 51 51 51
292 50 50 50 51 51 51
293 29 29 29 29 29 29
294 23 23 23 23 23 23
295 23 23 23 23 23 23
296 29 29 29 29 29 29
297 50 50 50 51 51 51
298 50 50 50 51 51 51
299 29 29 29 29 29 29
300 23 23 23 23 23 23
301 23 23 23 23 23 23
302 29 29 29 29 29 29
303 64 65 65 66 66 67
304 77 77 78 78 78 79
305 84 84 84 84 84 84
306 93 94 95 96 97 97
307 78 80 82 85 88 90
308 85 87 89 91 92 94
309 66 68 71 71 71 71
310 10 11 11 12 13 14
311 32 33 34 36 37 39
312 4 5 5 6 6 6
313 89 89 89 89 89 89
314 90 89 89 89 89 89
315 88 88 88 89 89 89
316 75 75 75 75 72 69
317 80 80 80 80 79 78
318 85 85 85 85 85 85
319 100 100 100 100 100 100
320 96 96 96 96 97 97
321 97 97 97 97 97 97
322 94 94 94 94 95 95
323 86 86 86 86 86 86
324 31 31 31 31 31 31
325 59 59 59 59 59 59
326 46 46 46 46 46 46
327 46 46 46 46 46 46
328 46 46 46 46 46 46
329 46 46 46 46 46 46
330 50 50 50 50 50 50
value_2018 value_2019 value_2020 latest_value.y footnotes.y
1 97 98 98 98 NA
2 73 73 74 74 NA
3 49 51 52 52 NA
4 56 58 59 59 NA
5 95 95 95 95 NA
6 27 27 28 28 NA
7 56 57 57 57 NA
8 18 18 18 18 NA
9 74 73 72 72 NA
10 68 68 69 69 NA
11 76 75 74 74 NA
12 99 99 99 99 NA
13 6 6 6 6 NA
14 2 2 2 2 NA
15 12 12 12 12 NA
16 93 93 93 93 NA
17 93 93 93 93 NA
18 93 93 93 93 NA
19 93 93 93 93 NA
20 17 17 17 17 NA
21 6 6 6 6 NA
22 2 2 2 2 NA
23 99 99 99 99 NA
24 99 99 99 99 NA
25 95 95 95 95 NA
26 40 40 40 40 NA
27 73 73 73 73 NA
28 81 81 80 80 NA
29 59 59 59 59 NA
30 19 19 19 19 NA
31 46 46 46 46 NA
32 39 40 40 40 NA
33 1 1 1 1 NA
34 18 18 19 19 NA
35 80 80 80 80 NA
36 81 81 81 81 NA
37 81 81 81 81 NA
38 94 94 94 94 NA
41 100 100 100 100 NA
42 97 97 97 97 NA
43 75 75 75 75 NA
44 66 67 67 67 NA
45 52 52 53 53 NA
46 78 78 77 77 NA
47 11 12 13 13 NA
48 39 39 39 39 NA
49 4 5 5 5 NA
50 96 96 96 96 NA
51 100 100 100 100 NA
52 99 99 99 99 NA
53 100 100 100 100 NA
54 66 66 66 66 NA
55 84 84 84 84 NA
56 40 40 40 40 NA
57 7 7 8 8 NA
58 43 44 45 45 NA
59 65 66 67 67 NA
60 100 100 100 100 NA
61 14 15 16 16 NA
62 57 59 60 60 NA
63 38 40 41 41 NA
64 14 14 15 15 NA
65 14 14 15 15 NA
66 21 21 21 21 NA
67 7 7 7 7 NA
68 7 7 7 7 NA
69 21 21 21 21 NA
70 14 14 15 15 NA
71 14 14 15 15 NA
72 21 21 21 21 NA
73 7 7 7 7 NA
74 7 7 7 7 NA
75 21 21 21 21 NA
76 100 100 100 100 NA
78 96 96 96 96 NA
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80 87 88 88 88 NA
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83 65 65 65 65 NA
84 18 19 19 19 NA
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88 100 100 100 100 NA
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103 59 59 60 60 NA
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199 100 100 100 100 NA
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203 100 100 100 100 NA
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207 99 99 99 99 NA
208 33 33 33 33 NA
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214 33 33 33 33 NA
215 36 36 36 36 NA
216 33 33 33 33 NA
217 40 40 40 40 NA
218 36 36 36 36 NA
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220 72 72 72 72 NA
221 51 51 51 51 NA
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223 51 51 51 51 NA
224 21 22 22 22 NA
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227 62 62 62 62 NA
228 34 34 35 35 NA
229 98 98 98 98 NA
230 97 97 97 97 NA
231 92 92 93 93 NA
232 95 95 95 95 NA
233 24 24 24 24 NA
234 10 11 11 11 NA
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248 49 49 49 49 NA
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250 95 95 95 95 NA
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254 12 12 12 12 NA
255 44 46 46 46 NA
256 40 40 40 40 NA
257 35 36 36 36 NA
258 24 24 25 25 NA
259 75 75 75 75 NA
260 82 82 82 82 NA
261 67 67 67 67 NA
262 8 9 9 9 NA
263 12 12 13 13 NA
264 10 10 11 11 NA
265 89 89 89 89 NA
266 100 100 100 100 NA
267 100 100 100 100 NA
268 99 99 99 99 NA
269 98 98 98 98 NA
270 82 82 81 81 NA
271 13 13 13 13 NA
272 65 65 65 65 NA
273 30 30 30 30 NA
274 83 83 83 83 NA
275 99 99 99 99 NA
276 100 100 100 100 NA
277 100 100 100 100 NA
278 63 63 63 63 NA
279 55 56 56 56 NA
280 40 40 41 41 NA
281 88 89 89 89 NA
282 100 100 100 100 NA
283 94 94 94 94 NA
284 87 87 88 88 NA
285 84 85 86 86 NA
286 68 70 72 72 NA
287 54 55 55 55 NA
288 19 19 20 20 NA
289 36 37 37 37 NA
290 7 7 7 7 NA
291 51 51 51 51 NA
292 51 51 51 51 NA
293 29 29 30 30 NA
294 23 23 23 23 NA
295 23 23 23 23 NA
296 29 29 30 30 NA
297 51 51 51 51 NA
298 51 51 51 51 NA
299 29 29 30 30 NA
300 23 23 23 23 NA
301 23 23 23 23 NA
302 29 29 30 30 NA
303 68 68 69 69 NA
304 79 79 79 79 NA
305 84 84 84 84 NA
306 97 97 97 97 NA
307 92 92 92 92 NA
308 95 95 95 95 NA
309 71 71 71 71 NA
310 15 16 17 17 NA
311 40 41 43 43 NA
312 7 7 8 8 NA
313 89 89 89 89 NA
314 89 89 89 89 NA
315 89 90 90 90 NA
316 66 66 66 66 NA
317 77 77 77 77 NA
318 85 85 85 85 NA
319 100 100 100 100 NA
320 97 97 97 97 NA
321 97 97 97 97 NA
322 95 95 95 95 NA
323 86 86 86 86 NA
324 31 31 31 31 NA
325 59 59 59 59 NA
326 46 46 46 46 NA
327 46 46 46 46 NA
328 46 46 46 46 NA
329 46 46 46 46 NA
330 50 50 50 50 NA
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# Plot the data
plot_loess <- ggplot(merged_data, aes(x = latest_value.x, y = value_2019)) +
geom_point(aes(color = location_desc,
shape = location_desc,
text = paste("Country:", geoAreaName, "<br>", "Location:", location_desc)), alpha = 0.7) +
geom_smooth(data = subset(merged_data, location_desc == "All areas"),
method = loess, se = FALSE,
aes(color = location_desc, weight = value_2019),
show.legend = TRUE) +
geom_smooth(data = subset(merged_data, location_desc == "Urban"),
method = loess,
se = FALSE,
aes(color = location_desc, weight = value_2019),
show.legend = TRUE) +
geom_smooth(data = subset(merged_data, location_desc == "Rural"),
method = loess,
se = FALSE,
aes(color = location_desc, weight = value_2019),
show.legend = TRUE) +
labs(x = "Mortality Rate (deaths per 100,000 population)",
y = "Safely Managed Drinking Water Services (%)",
title = "Correlation between Mortality Rate and Water Services (2019)",
color = "Location Type",
shape = "Location Type") +
theme_minimal() +
guides(color = guide_legend(override.aes = list(shape = 16)),
shape = guide_legend(override.aes = list(color = "black")))Warning in geom_point(aes(color = location_desc, shape = location_desc, :
Ignoring unknown aesthetics: text# Convert to a plotly plot
gp <- ggplotly(plot_loess, tooltip = "text")`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'# Print the plot
gpcorrelation_all <- cor(merged_data$latest_value.x[merged_data$location_desc == "All areas"],
merged_data$value_2019[merged_data$location_desc == "All areas"])
correlation_urban <- cor(merged_data$latest_value.x[merged_data$location_desc == "Urban"],
merged_data$value_2019[merged_data$location_desc == "Urban"])
correlation_rural <- cor(merged_data$latest_value.x[merged_data$location_desc == "Rural"],
merged_data$value_2019[merged_data$location_desc == "Rural"])
blank_plot <- ggplot() +
theme_void() +
theme(plot.margin = margin(1, 1, 1, 1, "cm")) +
annotate("text",
x = 0.5,
y = 0.5,
label = paste("Correlation All:",
round(correlation_all, 2), "\n",
"Correlation Urban:",
round(correlation_urban, 2), "\n",
"Correlation Rural:",
round(correlation_rural, 2)),
size = 5,
color = "black",
hjust = 0.5)
# Convert to a plotly plot
gp_text <- ggplotly(blank_plot)
gp_text6.2 Barchart and stacked barchart (without Transformation)
stacked_bar_chart <- ggplot(merged_data, aes(x = latest_value.x, fill = location_desc)) +
geom_histogram(position = "stack", bins = 20) +
labs(x = "Mortality Rate (deaths per 100,000 population)",
y = "Count",
title = "Stacked Bar Chart of Mortality Rates") +
theme_minimal()
#change to plotly
ggplot_stacked_bar_chart <- ggplotly(stacked_bar_chart)
ggplot_stacked_bar_chartgrouped_bar_chart <- ggplot(merged_data, aes(x = latest_value.x, fill = location_desc)) +
geom_histogram(position = "dodge", bins = 20) +
labs(x = "Mortality Rate (deaths per 100,000 population)",
y = "Count",
title = "Grouped Bar Chart of Mortality Rates") +
theme_minimal()
# Convert to a plotly plot
ggplot_grouped_bar_chart <- ggplotly(grouped_bar_chart)
ggplot_grouped_bar_chart# Filter data for the histogram
merged_data_all<- subset(merged_data, location_desc == "All areas") # change to rural or urban if you want
histogram <- ggplot(merged_data_all, aes(x = latest_value.x,
text = paste("Country:", geoAreaName,
"<br>Mortality Rate:", latest_value.x))) +
geom_histogram(bins = 50, fill = 'grey', color = 'black') +
labs(x = 'Mortality Rate (deaths per 100,000 population)',
y = 'Count',
title = 'Histogram of Mortality Rates for "All" locations') +
theme_minimal()
# Convert ggplot histogram to a plotly plot
plotly_histogram <- ggplotly(histogram, tooltip = "text")6.3 Normalise Data
merged_data$latest_value.x_positive <- merged_data$latest_value.x + abs(min(merged_data$latest_value.x)) + 0.1
# Apply the Box-Cox transformation
bc_result <- MASS::boxcox(merged_data$latest_value.x_positive ~ 1,
lambda = seq(-3,3,0.1))
# The optimal lambda value is the one that maximizes the log-likelihood
optimal_lambda <- bc_result$x[which.max(bc_result$y)]
# Transform the data using the optimal lambda value
if (optimal_lambda == 0) {
merged_data$latest_value.x_bc <- log(merged_data$latest_value.x_positive)
} else {
merged_data$latest_value.x_bc <- (merged_data$latest_value.x_positive^optimal_lambda - 1) / optimal_lambda
}
# Shift the transformed variable to be non-negative
min_value <- min(merged_data$latest_value.x_bc)
merged_data$latest_value.x_bc <- merged_data$latest_value.x_bc + abs(min_value) + 0.16.4 Histogram (Normalised)
# Round the transformed mortality rates to the nearest whole number
merged_data$latest_value.x_bc_rounded <- round(merged_data$latest_value.x_bc)
# Convert the latest_value.x_bc_rounded variable into a categorical variable
merged_data$latest_value.x_bc_cat <- cut(merged_data$latest_value.x_bc_rounded, breaks = 50)
# Create a stacked bar chart
stacked_bar_chart_bc <- ggplot(merged_data, aes(x = latest_value.x_bc_rounded, fill = location_desc)) +
geom_bar(position = "stack", bins =20) +
labs(x = "Transformed Mortality Rate",
y = "Count",
title = "Stacked Bar Chart of Transformed Mortality Rates") +
theme_minimal()Warning in geom_bar(position = "stack", bins = 20): Ignoring unknown
parameters: `bins`ggplot_stacked_bar_chart_bc <- ggplotly(stacked_bar_chart_bc)
ggplot_stacked_bar_chart_bc# Create a grouped bar chart
grouped_bar_chart_bc <- ggplot(merged_data, aes(x = latest_value.x_bc_rounded, fill = location_desc)) +
geom_bar(position = "dodge") +
labs(x = "Transformed Mortality Rate",
y = "Count",
title = "Grouped Bar Chart of Transformed Mortality Rates") +
theme_minimal()
# Convert to a plotly plot
ggplot_grouped_bar_chart_bc <- ggplotly(grouped_bar_chart_bc)
ggplot_grouped_bar_chart_bc6.5 Scatter plot Normalised
plot_loess <- ggplot(merged_data, aes(x = latest_value.x_bc, y = value_2019)) +
geom_point(aes(color = location_desc,
shape = location_desc,
text = paste("Country:", geoAreaName, "<br>", "Location:", location_desc)), alpha = 0.7) +
geom_smooth(data = subset(merged_data, location_desc == "All areas"),
method = loess, se = FALSE,
aes(color = location_desc, weight = value_2019),
show.legend = TRUE) +
geom_smooth(data = subset(merged_data, location_desc == "Urban"),
method = loess,
se = FALSE,
aes(color = location_desc, weight = value_2019),
show.legend = TRUE) +
geom_smooth(data = subset(merged_data, location_desc == "Rural"),
method = loess,
se = FALSE,
aes(color = location_desc, weight = value_2019),
show.legend = TRUE) +
labs(x = "Transformed Mortality Rate (deaths per 100,000 population)",
y = "Safely Managed Drinking Water Services (%)",
title = "Correlation between Transformed Mortality Rate and Water Services (Normalised)",
color = "Location Type",
shape = "Location Type") +
theme_minimal() +
guides(color = guide_legend(override.aes = list(shape = 16)),
shape = guide_legend(override.aes = list(color = "black")))Warning in geom_point(aes(color = location_desc, shape = location_desc, :
Ignoring unknown aesthetics: textgp_normalised <- ggplotly(plot_loess, tooltip = "text")`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'
`geom_smooth()` using formula = 'y ~ x'gp_normalised6.6 Correlation normalised
correlation_all <- cor(merged_data$latest_value.x_bc[merged_data$location_desc == "All areas"],
merged_data$value_2019[merged_data$location_desc == "All areas"])
correlation_urban <- cor(merged_data$latest_value.x_bc[merged_data$location_desc == "Urban"],
merged_data$value_2019[merged_data$location_desc == "Urban"])
correlation_rural <- cor(merged_data$latest_value.x_bc[merged_data$location_desc == "Rural"],
merged_data$value_2019[merged_data$location_desc == "Rural"])
blank_plot <- ggplot() +
theme_void() +
theme(plot.margin = margin(1, 1, 1, 1, "cm")) +
annotate("text",
x = 0.5,
y = 0.5,
label = paste("Correlation All:",
round(correlation_all, 2), "\n",
"Correlation Urban:",
round(correlation_urban, 2), "\n",
"Correlation Rural:",
round(correlation_rural, 2)),
size = 5,
color = "black",
hjust = 0.5)
gp_text_normalised <- ggplotly(blank_plot)
gp_text_normalised6.7 Combining normal and unormalised plots
combined_plot <- subplot(
gp, gp_text,
gp_normalised, gp_text_normalised,
nrows = 2, margin = 0.05
)
# Print the combined plot
combined_plot7 Four Indicators
#mortality_rate_attributed_to_unsafe_water
mortality_rate_unsafe_water_indicators <- read_csv("data/indicator_3.9.2.csv",show_col_types = FALSE)
#Proportion_of_population_using_safely_managed_drinking_water_services
proportion_of_safe_water_indicators<- read_csv("data/indicator_6.1.1.csv",show_col_types = FALSE)
#mortality_rate_unintentional_poisoning
mortality_rate_unintentional_poisoning_indicators <- read_csv("data/indicator_3.9.3.csv",show_col_types = FALSE)
#proportion-of-population-with-basic-handwashing-facilities-on-premises-by-urban-rural-percent
population_with_basic_handwashing_facilities_indicators<- read_csv("data/indicator_6.2.1.csv",show_col_types = FALSE)mortality_rate_unsafe_water_indicators <- dplyr::select(
mortality_rate_unsafe_water_indicators,
code = 'geoAreaCode',
country = 'geoAreaName',
region = 'parentName',
iso = 'ISO3',
MR_unsafe_water = 'latest_value'
)
mortality_rate_unsafe_water_indicators <- mortality_rate_unsafe_water_indicators %>%
distinct()
mortality_rate_unsafe_water_indicators# A tibble: 183 × 5
code country region iso MR_unsafe_water
<dbl> <chr> <chr> <chr> <dbl>
1 583 Micronesia (Federated States of) Oceania (exc. A… FSM 3.6
2 496 Mongolia Eastern Asia MNG 1.3
3 499 Montenegro Southern Europe MNE 0
4 504 Morocco Northern Africa MAR 1.9
5 508 Mozambique Eastern Africa MOZ 27.6
6 104 Myanmar South-Eastern A… MMR 12.6
7 516 Namibia Southern Africa NAM 18.3
8 524 Nepal Southern Asia (… NPL 19.8
9 528 Netherlands Western Europe NLD 0.2
10 554 New Zealand Australia and N… NZL 0.1
# ℹ 173 more rowsproportion_of_safe_water_indicators <- dplyr::select(
proportion_of_safe_water_indicators,
code = 'geoAreaCode',
country = 'geoAreaName',
region = 'parentName',
iso = 'ISO3',
urbanisation = "location_desc",
sanitation_access = "value_2019",
)
# Remove duplicates
proportion_of_safe_water_indicators <- proportion_of_safe_water_indicators%>%
distinct()
proportion_of_safe_water_indicators# A tibble: 286 × 6
code country region iso urbanisation sanitation_access
<dbl> <chr> <chr> <chr> <chr> <dbl>
1 807 North Macedonia South… MKD Rural 66
2 804 Ukraine Easte… UKR Urban 89
3 807 North Macedonia South… MKD Urban 85
4 826 United Kingdom of Great Br… North… GBR All areas 100
5 580 Northern Mariana Islands Ocean… MNP All areas 91
6 840 United States of America North… USA All areas 97
7 578 Norway North… NOR All areas 99
8 512 Oman Weste… OMN All areas 90
9 586 Pakistan South… PAK All areas 36
10 586 Pakistan South… PAK Rural 33
# ℹ 276 more rowsmortality_rate_unintentional_poisoning_indicators <- dplyr::select(
mortality_rate_unintentional_poisoning_indicators,
code = 'geoAreaCode',
country = 'geoAreaName',
region = 'parentName',
iso = 'ISO3',
gender = 'sex_desc',
MR_poisoning = 'value_2019'
)
# drop rows if contains at least one NA value
mortality_rate_unintentional_poisoning_indicators <- na.omit(mortality_rate_unintentional_poisoning_indicators)
# Remove duplicates
mortality_rate_unintentional_poisoning_indicators <- mortality_rate_unintentional_poisoning_indicators%>%
distinct()
#check for empty row
any(is.na(mortality_rate_unintentional_poisoning_indicators))[1] FALSEmortality_rate_unintentional_poisoning_indicators# A tibble: 549 × 6
code country region iso gender MR_poisoning
<dbl> <chr> <chr> <chr> <chr> <dbl>
1 470 Malta Southern Europe MLT Both se… 0.1
2 152 Chile South America CHL Male 0.5
3 4 Afghanistan Southern Asia (excluding India) AFG Both se… 1
4 470 Malta Southern Europe MLT Female 0
5 156 China Eastern Asia CHN Both se… 1.8
6 470 Malta Southern Europe MLT Male 0.2
7 156 China Eastern Asia CHN Female 1.5
8 478 Mauritania Western Africa MRT Both se… 1.5
9 478 Mauritania Western Africa MRT Female 1.3
10 478 Mauritania Western Africa MRT Male 1.7
# ℹ 539 more rowspopulation_with_basic_handwashing_facilities_indicators <- dplyr::select(
population_with_basic_handwashing_facilities_indicators,
code = 'geoAreaCode',
country = 'geoAreaName',
region = 'parentName',
iso = 'ISO3',
urbanisation = 'location_desc',
handwash_access = 'value_2019'
)
# drop rows if contains at least one NA value
population_with_basic_handwashing_facilities_indicators <- na.omit(population_with_basic_handwashing_facilities_indicators)
# Remove duplicates
population_with_basic_handwashing_facilities_indicators <- population_with_basic_handwashing_facilities_indicators%>%
distinct()
#check for empty row
any(is.na(mortality_rate_unintentional_poisoning_indicators))[1] FALSEpopulation_with_basic_handwashing_facilities_indicators# A tibble: 250 × 6
code country region iso urbanisation handwash_access
<dbl> <chr> <chr> <chr> <chr> <dbl>
1 4 Afghanistan Southern Asia (excludi… AFG All areas 38
2 356 India Southern Asia IND Urban 82
3 360 Indonesia South-Eastern Asia IDN All areas 94
4 4 Afghanistan Southern Asia (excludi… AFG Rural 29
5 694 Sierra Leone Western Africa SLE Rural 18
6 360 Indonesia South-Eastern Asia IDN Rural 91
7 4 Afghanistan Southern Asia (excludi… AFG Urban 64
8 12 Algeria Northern Africa DZA All areas 85
9 12 Algeria Northern Africa DZA Rural 75
10 12 Algeria Northern Africa DZA Urban 88
# ℹ 240 more rows7.1 Joining all 4 indicators
countries_tb <- left_join(
mortality_rate_unintentional_poisoning_indicators,
population_with_basic_handwashing_facilities_indicators,
by = join_by(country, iso)
)
countries_tb <- left_join(
countries_tb,
mortality_rate_unsafe_water_indicators,
by = join_by(iso)
)
countries_tb <- left_join(
countries_tb,
proportion_of_safe_water_indicators,
by = join_by(iso, urbanisation)
) |>
mutate(
iso = case_match(
iso,
"COD" ~ "ZAR",
"ROU" ~ "ROM",
"TLS" ~ "TMP",
"XKX" ~ "KSV",
.default = iso
)
)
names(countries_tb) [1] "code.x" "country.x" "region.x"
[4] "iso" "gender" "MR_poisoning"
[7] "code.y" "region.y" "urbanisation"
[10] "handwash_access" "code.x.x" "country.y"
[13] "region.x.x" "MR_unsafe_water" "code.y.y"
[16] "country" "region.y.y" "sanitation_access"7.2 Joining with adminGeoJson
countries_sf <- read_sf("./data/WB_countries_Admin0.geojson")
countries_tb <- left_join(
countries_tb,
dplyr::select(countries_sf,WB_A3, GDP_MD_EST, INCOME_GRP, POP_EST),
by = c("iso" = "WB_A3")
)countries_tb# A tibble: 1,038 × 22
code.x country.x region.x iso gender MR_poisoning code.y region.y
<dbl> <chr> <chr> <chr> <chr> <dbl> <dbl> <chr>
1 470 Malta Southern Europe MLT Both … 0.1 NA <NA>
2 152 Chile South America CHL Male 0.5 NA <NA>
3 4 Afghanistan Southern Asia (… AFG Both … 1 4 Souther…
4 4 Afghanistan Southern Asia (… AFG Both … 1 4 Souther…
5 4 Afghanistan Southern Asia (… AFG Both … 1 4 Souther…
6 470 Malta Southern Europe MLT Female 0 NA <NA>
7 156 China Eastern Asia CHN Both … 1.8 NA <NA>
8 470 Malta Southern Europe MLT Male 0.2 NA <NA>
9 156 China Eastern Asia CHN Female 1.5 NA <NA>
10 478 Mauritania Western Africa MRT Both … 1.5 478 Western…
# ℹ 1,028 more rows
# ℹ 14 more variables: urbanisation <chr>, handwash_access <dbl>,
# code.x.x <dbl>, country.y <chr>, region.x.x <chr>, MR_unsafe_water <dbl>,
# code.y.y <dbl>, country <chr>, region.y.y <chr>, sanitation_access <dbl>,
# GDP_MD_EST <dbl>, INCOME_GRP <chr>, POP_EST <int>,
# geometry <MULTIPOLYGON [°]>7.3 Clean data
Remove certain columns and rename column for cleaner a look
# Drop
clean_datatable <- dplyr::select(countries_tb,
-code.y, -code.x,
-region.y, -region.x,
-code.x.x, code.y.y,
-country.x, -country.y,
-region.x.x, -region.y.y,
-iso)
# Rename
clean_datatable <- clean_datatable %>% rename(
gdp = GDP_MD_EST,
income_group = INCOME_GRP,
population = POP_EST)
# Rearrange
clean_datatable <- clean_datatable %>%
dplyr::select(country,
gdp,
income_group,
population,
urbanisation,
gender,
handwash_access,
sanitation_access,
MR_poisoning,
MR_unsafe_water,)
datatable(clean_datatable)7.4 Correlation between 4 indicators
# filter gender of both sexes to reduce duplicates
countries_tb <- countries_tb |>
filter(gender == "Both sexes") |>
na.omit(countries_tb)
countries_tb# A tibble: 143 × 22
code.x country.x region.x iso gender MR_poisoning code.y region.y
<dbl> <chr> <chr> <chr> <chr> <dbl> <dbl> <chr>
1 4 Afghanistan Southern Asia (… AFG Both … 1 4 Souther…
2 4 Afghanistan Southern Asia (… AFG Both … 1 4 Souther…
3 4 Afghanistan Southern Asia (… AFG Both … 1 4 Souther…
4 484 Mexico Central America MEX Both … 0.4 484 Central…
5 496 Mongolia Eastern Asia MNG Both … 2.8 496 Eastern…
6 496 Mongolia Eastern Asia MNG Both … 2.8 496 Eastern…
7 496 Mongolia Eastern Asia MNG Both … 2.8 496 Eastern…
8 499 Montenegro Southern Europe MNE Both … 0.6 499 Souther…
9 499 Montenegro Southern Europe MNE Both … 0.6 499 Souther…
10 104 Myanmar South-Eastern A… MMR Both … 1.3 104 South-E…
# ℹ 133 more rows
# ℹ 14 more variables: urbanisation <chr>, handwash_access <dbl>,
# code.x.x <dbl>, country.y <chr>, region.x.x <chr>, MR_unsafe_water <dbl>,
# code.y.y <dbl>, country <chr>, region.y.y <chr>, sanitation_access <dbl>,
# GDP_MD_EST <dbl>, INCOME_GRP <chr>, POP_EST <int>,
# geometry <MULTIPOLYGON [°]>countries_tb_subset <- dplyr::select(countries_tb, MR_poisoning, MR_unsafe_water, handwash_access, sanitation_access,urbanisation,country.x)
# Display the subsetted data
print(countries_tb_subset)# A tibble: 143 × 6
MR_poisoning MR_unsafe_water handwash_access sanitation_access urbanisation
<dbl> <dbl> <dbl> <dbl> <chr>
1 1 13.9 38 27 All areas
2 1 13.9 29 24 Rural
3 1 13.9 64 36 Urban
4 0.4 1.1 90 43 All areas
5 2.8 1.3 84 30 All areas
6 2.8 1.3 77 11 Rural
7 2.8 1.3 88 38 Urban
8 0.6 0 99 85 All areas
9 0.6 0 99 87 Urban
10 1.3 12.6 74 58 All areas
# ℹ 133 more rows
# ℹ 1 more variable: country.x <chr>7.5 Scatterplot matrix
#set axis names
countries_tb_subset_corr4 <- dplyr::select(countries_tb_subset, MR_unsafe_water, MR_poisoning, handwash_access, sanitation_access, urbanisation,country.x)
colnames(countries_tb_subset_corr4) <- c("Unsafe Water Mortality Rate",
"Poisoning Mortality",
"Handwashing Access (%)",
"Sanitation Access (%)",
"Urbanisation",
"Countries"
)
countries_tb_subset_corr4# A tibble: 143 × 6
`Unsafe Water Mortality Rate` `Poisoning Mortality` `Handwashing Access (%)`
<dbl> <dbl> <dbl>
1 13.9 1 38
2 13.9 1 29
3 13.9 1 64
4 1.1 0.4 90
5 1.3 2.8 84
6 1.3 2.8 77
7 1.3 2.8 88
8 0 0.6 99
9 0 0.6 99
10 12.6 1.3 74
# ℹ 133 more rows
# ℹ 3 more variables: `Sanitation Access (%)` <dbl>, Urbanisation <chr>,
# Countries <chr>#change to factor for colour
countries_tb_subset_corr4$Urbanisation <- as.factor(countries_tb_subset_corr4$Urbanisation)
plot <- ggpairs(data = countries_tb_subset_corr4,
columns = 1:4,
upper = list(continuous = "cor"),
lower = list(continuous = "smooth", se=FALSE),
diag = list(continuous = "bar", bin=30),
mapping = aes(color = Urbanisation),
tooltips = c("Countries")) +
theme_minimal() +
theme(axis.title = element_text(size = 5))Warning in warn_if_args_exist(list(...)): Extra arguments: "tooltips" are being
ignored. If these are meant to be aesthetics, submit them using the 'mapping'
variable within ggpairs with ggplot2::aes or ggplot2::aes_string.Warning in check_and_set_ggpairs_defaults("diag", diag, continuous =
"densityDiag", : Changing diag$continuous from 'bar' to 'barDiag'plot`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
# Convert ggplot to plotly
plot_interactive <- ggplotly(plot)`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.
`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.Warning: Can only have one: highlight`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.Warning: Can only have one: highlight`stat_bin()` using `bins = 30`. Pick better value with `binwidth`.Warning: Can only have one: highlightplot_interactive <- layout(plot_interactive,
font = list(size = 8)
)
# Render the plotly scatterplot matrix
plot_interactive7.6 Different Scatter plot matrix
countries_tb_subset_corr4 <- dplyr::select(countries_tb_subset, MR_unsafe_water, MR_poisoning, handwash_access, sanitation_access, urbanisation)
# Rename the columns
colnames(countries_tb_subset_corr4) <- c("Unsafe Water Mortality Rate",
"Poisoning Mortality",
"Handwashing Access (%)",
"Sanitation Access (%)",
"Urbanisation")
# Make urbanisation as a factor for colourisation
countries_tb_subset_corr4$Urbanisation <- as.factor(countries_tb_subset_corr4$Urbanisation)
# Map urbanisation to colors
color_mapping <- c("All areas" = "red", "Urban" = "blue", "Rural" = "green") # Adjust to your actual factor levels and desired colors
colors <- color_mapping[countries_tb_subset_corr4$Urbanisation]
# Create scatterplot matrix without colors
plot <- pairs.panels(countries_tb_subset_corr4[, 1:4],
hist.col = "#00AFBB",
bg = "transparent")